58TH ALLERTON CONFERENCE: 58TH ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING

This page contains an index consisting of author-provided keywords.

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$\alpha$-Mixing	Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
3
3-layer	Understanding the generalization power of overfitted NTK models: 3-layer vs. 2-layer
A
A-channel	Finite-Blocklength Results for the A-channel: Applications to Unsourced Random Access and Group Testing
abandonment	Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
active learning	Active Learning for Individual Data via Minimal Stochastic Complexity
actor-critic	Policy Gradient Method For Robust Reinforcement Learning
Additive White Gaussian Noise Broadcast Channel	Achievable Rate Regions for the Gaussian Broadcast Channel with Fixed Blocklength and Per User Reliability
admission control	Learning-based Optimal Admission Control in a Single Server Queuing System
Admittance matrix estimation	Inverse Power Flow Problem
Adversarial Attack	Adversarial Examples for Model-Based Control: A Sensitivity Analysis
Adversarial Environments	Ensuring the Defense of Paths and Perimeters in Dynamic Defender-Attacker Blotto Games (dDAB) on Graphs
adversary	Identifying Influential Agents Via Faux Adversarial Games
Age of Information	Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law ASUMAN: Age Sense Updating Multiple Access in Networks
algorithm design	Decentralized Online Influence Maximization
Allocation of heterogeneous resources	Equilibrium characterizations of multi-resource Lotto games
almost-trees	On Learning a Hidden Directed Graph with Path Queries
alternating direction method of multipliers	Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems
altruism	Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game
Anomaly detection	Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning A Survey of Dynamic Watermarking Algorithms and Some Recent Developments
Anticipatory Decision Maker	Quickest Detection with Anticipatory and Quantum Decision Makers
approximate message passing	Local convexity of the TAP free energy and AMP convergence for Z2-synchronization Universality of High-Dimensional Estimation with Nearly Deterministic Sensing Matrices
assignment problems	Efficient sequential UCB-based Hungarian algorithm for assignment problems
asymptotic optimality	Window-Limited CUSUM for Sequential Change Detection
Authentication	Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy Controlled Sensing with Corrupted Commands
automatic generation control	From Automatic Generation Control to Fast Frequency Control using Inverter-Based Resources
average consensus	Synchronized Stop and Re-start Distributed Average Consensus for Control and Coordination Applications
AWGN	An Error Exponent for the AWGN Channel with Decision Feedback and Lattice Coding
B
bandits	Efficient SPRT-based Best Arm Identification in Stochastic Bandits
Barzilai-Borwein (BB) step-sizes	Q-linear Convergence of Distributed Optimization with Barzilai-Borwein Step Sizes
Bayesian inference	Spatio-temporal Multiple Change-point Detection in Sensor Networks
Bayesian mechanism design	Optimal Private Data Acquisition: Central and Local Differential Privacy
Bayesian Persuasion	Strategic Communication via Cascade Multiple-Description Network
Bayesian regret	An Information-Theoretic Analysis of Bayesian Reinforcement Learning
BCMP queueing network	Pricing, competition and market segmentation in ride hailing
best arm identification	Efficient SPRT-based Best Arm Identification in Stochastic Bandits
Bioprocess	Convex Optimization of Bioprocesses
Bisection stochastic block model	Quickest Detection of the Change of Community via Stochastic Block Models
Black-box Optimization and Reinforcement Learning	Escaping saddle points in zeroth-order optimization: two function evaluations suffice
blockchain	How to Charge Lightning: The Economics of Bitcoin Transaction Channels
Bonacich centrality	Equilibrium analysis of game on heterogeneous networks with coupled activities
Bounded gradients	Unbounded Gradients in Federated Leaning with Buffered Asynchronous Aggregation
bounds	Covering Properties of Sum-Rank Metric Codes
Burst of deletions	Permutation Codes for Correcting a Burst of at Most $t$ Deletions
Byzantine Attacks	Byzantine Resilience With Reputation Scores
C
capacity	Asymptotically Optimal Worst-Case State Estimation over Noisy Channels
cardinality	Covering Properties of Sum-Rank Metric Codes
Cascade Multiple Description Network	Strategic Communication via Cascade Multiple-Description Network
Cascading failure	Online detection of cascading change-points using diffusion networks
causal inference	Recursive Causal Structure Learning
Causality	Ignoring Causality to Improve Ranking
chance constraints	Data-driven estimation of probabilistic constraints for network-safe distributed energy resource control
Change detection	A Survey of Dynamic Watermarking Algorithms and Some Recent Developments Quickest Detection of the Change of Community via Stochastic Block Models
change-point detection	Spatio-temporal Multiple Change-point Detection in Sensor Networks
Change-points detection	Online detection of cascading change-points using diffusion networks
channel assignment	Throughput optimized random access channel assignment
channel symmetries	On the Symmetries of the Deletion Channel
charging stations	The Effects of Varying Charging Rates on Optimal Charging Station Choices for Electric Vehicles
Chen-Fliess series	System Identification Entropy for Chen-Fliess Series and Their Interconnections Reachability of Chen-Fliess series: A Gradient Descent Approach
Circuit dynamics	Compensating Network Dynamics in Grid-Forming Control
Clustering	Global Convergence of Federated Learning for Mixed Regression May the force be with you
Coded computing	Secure Linear MDS Coded Matrix Inversion
Coding Techniques and Applications	Degree Tables for Private Information Retrieval
collision channel	Throughput optimized random access channel assignment
Colonel Blotto	The Art of Concession in General Lotto Games
Combinatorial Optimization	Rubik Tables, Stack Rearrangement, and Multi-Robot Routing
Commitment	Commitment over Multiple-Access Channels
Community detection	Selecting the Number of Communities in Count-Weighted Networks Quickest Detection of the Change of Community via Stochastic Block Models
Competitive resource allocation	Equilibrium characterizations of multi-resource Lotto games
complex projective codes	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
Composite regret	Distributed Online Non-convex Optimization with Composite Regret
compressed sensing	Classifying Incomplete Data with a Mixture of Subspace Experts
Computed Tomography	Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium
concentration bound	A concentration bound for distributed stochastic approximation
congestion	Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game
consensus	A concentration bound for distributed stochastic approximation
Consensus Equilibrium	Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium
Constant Weight Sum Codes	Bounds on Reversible, Complement, Reversible-Complement, Constant Weight Sum Codes
Continuous game	Equilibrium characterizations of multi-resource Lotto games
control	Black-box Control for Linear Dynamical Systems
control systems	On the connection between reinforcement learning and gradient descent
Controlled sensing	Controlled Sensing with Corrupted Commands
Controller parameterization	Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering
Convergence Rates	Unbounded Gradients in Federated Leaning with Buffered Asynchronous Aggregation
convex optimization	Optimal Discrimination Between Two Pure States and Dolinar-Type Coherent-State Detection Proximal methods for self-healing and exact distributed convex optimization
Convex relaxation	Convex Optimization of Bioprocesses
cooperation	Pricing, competition and market segmentation in ride hailing
correlated perturbations	Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
Count-weighted networks	Selecting the Number of Communities in Count-Weighted Networks
Coupled activities	Equilibrium analysis of game on heterogeneous networks with coupled activities
coupling of encoding schemes	Linear Coding for Gaussian Two-Way Channels
covering radius	Covering Properties of Sum-Rank Metric Codes
Cumulative sum (CUSUM) test	Window-Limited CUSUM for Sequential Change Detection
D
Data acquisition	Optimal Private Data Acquisition: Central and Local Differential Privacy
data-driven change detection	Data-Driven Sequential Change Detection in Privacy-Sensitive Networks
data-driven decision-making	Is Pessimism Provably Efficient for Offline RL?
Decentralized control	Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering
decomposable optimization	Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems
deep image prior	Robust Deep Image Prior with Partial Guidance
deep learning	A Geometric Analysis of Neural Collapse with Unconstrained Features Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers Multivariate Feature Extraction A Kernel Analysis of Feature Learning in Deep Neural Networks Overparameterization improves robustness to covariate shift in high dimensions
Deep reinforcement learning	Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning
Deep-learned error-correcting codes	Opening the black box: deep-learned error-correcting codes
Degree corrected stochastic block models	Selecting the Number of Communities in Count-Weighted Networks
Degree Tables	Degree Tables for Private Information Retrieval
Delay Minimization	Queueing Delay Minimization in Overloaded Networks via Rate Control
deletion channel	On the Symmetries of the Deletion Channel
descent ascent method	GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems
Detection and Estimation	Quickest Detection of a Threat to an Impending Disaster Minimum-Length Trace Reconstruction via Integer Programming
detection-recovery gap	Detection-Recovery Gap for Planted Dense Cycles
Differential Game	The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash?
Differential privacy	Optimal Private Data Acquisition: Central and Local Differential Privacy Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
dimension reduction	May the force be with you
Dirichlet distribution	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
discrete curvature	Oversquashing in GNNs through the lens of information contraction and graph expansion
discrete geometry	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
dispatching algorithms	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
Distillation	Ignoring Causality to Improve Ranking
Distributed Agreement	On the Limits of Distributed Agreement between Correlated Sources
distributed algorithms	A concentration bound for distributed stochastic approximation Repeated Games, Optimal Channel Capture, and Open Problems for Slotted Multiple Access
distributed computation	Random Adaptation Perspective to Distributed Computation
distributed control	Synchronized Stop and Re-start Distributed Average Consensus for Control and Coordination Applications
distributed energy resources	Data-driven estimation of probabilistic constraints for network-safe distributed energy resource control
Distributed Estimation	Distributed Consensus-based Kalman Filter under Limited Communication
Distributed Learning	Byzantine Resilience With Reputation Scores
Distributed optimization	A safe pricing algorithm for distributed demand management Distributed Online Non-convex Optimization with Composite Regret Q-linear Convergence of Distributed Optimization with Barzilai-Borwein Step Sizes Proximal methods for self-healing and exact distributed convex optimization
distributed stopping	Synchronized Stop and Re-start Distributed Average Consensus for Control and Coordination Applications
Distribution learning	Learning Preference Distributions From Distance Measurements
distribution networks	Data-driven estimation of probabilistic constraints for network-safe distributed energy resource control
distribution shift	Representation-assisted Reinforcement Learning under Distribution Shift Overparameterization improves robustness to covariate shift in high dimensions
distributional Robustness	Policy Gradient Method For Robust Reinforcement Learning
disturbance estimation	From Automatic Generation Control to Fast Frequency Control using Inverter-Based Resources
DNA Codes	Bounds on Reversible, Complement, Reversible-Complement, Constant Weight Sum Codes
Domain Adaptation	A distributionally robust approach to domain adaptation
DRO	A distributionally robust approach to domain adaptation
Dynamic Watermarking	A Survey of Dynamic Watermarking Algorithms and Some Recent Developments
dynamical systems	Momentum-Based Learning and Optimization Dynamics with Stochastic Restarting On the Conley's decomposition for well-posed hybrid inclusions
E
Economic Dispatch	Optimal Primary- and Secondary-control Design for Grids with Generators and Inverters
electric vehicles	The Effects of Varying Charging Rates on Optimal Charging Station Choices for Electric Vehicles
electricity market	Bringing Data Science and Machine Learning into Electricity Markets
embeddings	May the force be with you
engagement	Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
Entropic regularization	On the sample complexity of entropic optimal transport
Entropic-VaR	Policy Gradient based Entropic-VaR Optimization in Risk-Sensitive Reinforcement Learning
entropy	System Identification Entropy for Chen-Fliess Series and Their Interconnections
epidemics	Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game
Equiangular tight frames	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
Error correcting codes	Permutation Codes for Correcting a Burst of at Most $t$ Deletions
Error exponents	An Error Exponent for the AWGN Channel with Decision Feedback and Lattice Coding
Escaping Saddle Points	Escaping saddle points in zeroth-order optimization: two function evaluations suffice
estimation	Asymptotically Optimal Worst-Case State Estimation over Noisy Channels
expander graphs	Oversquashing in GNNs through the lens of information contraction and graph expansion
expected throughput	Throughput optimized random access channel assignment
Experimentation	Markovian Interference in Experiments
Explainable AI	Opening the black box: deep-learned error-correcting codes
exploitation versus exploration	Is Pessimism Provably Efficient for Offline RL?
exploration	Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
F
false discovery rate	Spatio-temporal Multiple Change-point Detection in Sensor Networks
feature identification	May the force be with you
Federated Learning	Leveraging Spatial and Temporal Correlations in Distributed Learning Global Convergence of Federated Learning for Mixed Regression Unbounded Gradients in Federated Leaning with Buffered Asynchronous Aggregation Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations On Sample Complexity of Learning Shared Representations: The Asymptotic Regime CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data
Finite Block Length Information Theory	Achievable Rate Regions for the Gaussian Broadcast Channel with Fixed Blocklength and Per User Reliability
Finite blocklength information theory	Finite-Blocklength Results for the A-channel: Applications to Unsourced Random Access and Group Testing
finite-state compression	Finite-State Mutual Dimension
finite-state dimension	Finite-State Mutual Dimension
finite-time regret analysis	Learning-based Optimal Admission Control in a Single Server Queuing System
Forced Oscillations	Model-Enhanced Localization of Forced Oscillation Using PMU Data
formal methods	Guaranteeing safety for systems with missing measurements
formal power series	System Identification Entropy for Chen-Fliess Series and Their Interconnections
Forney	An Error Exponent for the AWGN Channel with Decision Feedback and Lattice Coding
frequency control	From Automatic Generation Control to Fast Frequency Control using Inverter-Based Resources
fundamental limits	Low-rank matrix estimation with groupwise heteroskedasticity
G
game theory	Mixed Strategies with Finite Support in Continuous Spaces: A Case Study in Trajectory Games Information provision to manage strategic agents over star networks - static and dynamic designs The Art of Concession in General Lotto Games Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games Individual Altruism Cannot Overcome Congestion Effects in a Global Pandemic Game Ensuring the Defense of Paths and Perimeters in Dynamic Defender-Attacker Blotto Games (dDAB) on Graphs Identifying Influential Agents Via Faux Adversarial Games Second order methods for min-max optimization with stability guarantees
games on graphs	An Interactive Search Game with Two Agents
Gaussian two-way channels	Linear Coding for Gaussian Two-Way Channels
General Lotto game	Equilibrium characterizations of multi-resource Lotto games
generalization power	Understanding the generalization power of overfitted NTK models: 3-layer vs. 2-layer
Generalized likelihood ratio	Online detection of cascading change-points using diffusion networks
generative adversarial networks	A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
global optimality	Policy Gradient Method For Robust Reinforcement Learning
Gossiping	ASUMAN: Age Sense Updating Multiple Access in Networks
Gradient Descent algorithm	Reachability of Chen-Fliess series: A Gradient Descent Approach
gradient descent ascent	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games
gradient play	Gradient play in stochastic games: stationary points, convergence, and sample complexity
graph	Identifying Influential Agents Via Faux Adversarial Games
graph learning	On Learning a Hidden Directed Graph with Path Queries
Graph Neural Networks	Graph Convolutional Neural Networks for Control of Smart Inverters in Power Grids Oversquashing in GNNs through the lens of information contraction and graph expansion
Graph theory	Zero-error Coding for Computing with Encoder Side-information
Grid-forming control	Compensating Network Dynamics in Grid-Forming Control
Grid-forming/following control	Dynamic Performance of Unified Grid-Forming/Following Inverter Control
Group testing	Finite-Blocklength Results for the A-channel: Applications to Unsourced Random Access and Group Testing
groups	On the Symmetries of the Deletion Channel
Guardrails	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
H
Hashing	Commitment over Multiple-Access Channels
heavy-traffic	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
Heterogeneous networks	Equilibrium analysis of game on heterogeneous networks with coupled activities
heteroskedastic noise	Low-rank matrix estimation with groupwise heteroskedasticity
Hierarchical information structure	Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
high dimensional statistics	Recursive Causal Structure Learning
high load	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
High-dimensional estimation	Universality of High-Dimensional Estimation with Nearly Deterministic Sensing Matrices
high-dimensional statistics	Overparameterization improves robustness to covariate shift in high dimensions
Human sensor interaction	Quickest Detection with Anticipatory and Quantum Decision Makers
Hungarian algorithm	Efficient sequential UCB-based Hungarian algorithm for assignment problems
hybrid systems	Approaches to Analysis of Power System Dynamics with High Penetration of Inverter Interfaced Devices On the Conley's decomposition for well-posed hybrid inclusions
Hypothesis testing	Controlled Sensing with Corrupted Commands
I
Ideal point distribution	Learning Preference Distributions From Distance Measurements
identification	Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy
image reconstruction	Robust Deep Image Prior with Partial Guidance
imitation learning	Near-optimal algorithms for Imitation Learning TaSIL: Taylor Series Imitation Learning
Incentive Compatibility	Storage Participation with State-of-Charge Dependent Offers and Bids: Market Clearing, Pricing, and Incentive Compatibility
independence	Finite-State Mutual Dimension
index coding	Hardness of Linear Index Coding on Perturbed Instances
influence maximization	Decentralized Online Influence Maximization
information design	Information provision to manage strategic agents over star networks - static and dynamic designs Persuasion in Networks: Public Signals and Cores
Information Freshness	ASUMAN: Age Sense Updating Multiple Access in Networks
Information Measures	On the Limits of Distributed Agreement between Correlated Sources
information theoretic learning	Trimmed Minimum Error Entropy for Robust Online Regression
information theoretic lower bounds	Near-optimal algorithms for Imitation Learning
information theoretic threshold	Phase transitions in the Gaussian database alignment and planted Gaussian matching problems
Information theory	Degree Tables for Private Information Retrieval Zero-error Coding for Computing with Encoder Side-information Minimum-Length Trace Reconstruction via Integer Programming Controlled Sensing with Corrupted Commands Extracting Unique Information Through Markov Relations
information-theoretic bounds	An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Information-theoretic security	Commitment over Multiple-Access Channels
interactive learning	An Interactive Search Game with Two Agents
intermittent measurements	Guaranteeing safety for systems with missing measurements
Interpretation	Opening the black box: deep-learned error-correcting codes
Inverse dynamic game	The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash?
Inverse optimal control	The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash?
inverse problems	Robust Deep Image Prior with Partial Guidance Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
Inverter-based resources	Dynamic Performance of Unified Grid-Forming/Following Inverter Control
K
Kalman Filter	Distributed Consensus-based Kalman Filter under Limited Communication
Kernel methods	A Kernel Analysis of Feature Learning in Deep Neural Networks
Kron-reduced admittance matrix	Inverse Power Flow Problem
L
landscape analysis	Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Large systems	Maximizing Utilization in Large Systems Serving Jobs with Time-Varying Resource Requirements
lattice	An Error Exponent for the AWGN Channel with Decision Feedback and Lattice Coding
learning	Momentum-Based Learning and Optimization Dynamics with Stochastic Restarting A safe pricing algorithm for distributed demand management Learning-based Optimal Admission Control in a Single Server Queuing System
learning theory	TaSIL: Taylor Series Imitation Learning On the connection between reinforcement learning and gradient descent Bandits with Dynamic Arm-acquisition Costs
Learning to control	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
learning trajectory	Beyond UCB: statistical complexity and optimal algorithm for non-linear ridge bandits
learning with side information	Multivariate Feature Extraction
Leave-one-out analysis	Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
lightning network	How to Charge Lightning: The Economics of Bitcoin Transaction Channels
line packings	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
linear adaptive filtering	Trimmed Minimum Error Entropy for Robust Online Regression
linear coding	Linear Coding for Gaussian Two-Way Channels
linear dynamical systems	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
Linear matrix inequality	Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering
Linear Quadratic Differential Game	The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash?
linear regression	The TAP free energy for high-dimensional linear regression with uniform spherical prior
load balancing	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
low-degree polynomials	Detection-Recovery Gap for Planted Dense Cycles
low-rank matrix estimation	Low-rank matrix estimation with groupwise heteroskedasticity
low-rank MDP	Representation-assisted Reinforcement Learning under Distribution Shift
Lyapunov functions	On the Conley's decomposition for well-posed hybrid inclusions
Lyapunov stability	Stability and Safety Constrained Reinforcement Learning for Voltage Control
M
Machine Learning	Bringing Data Science and Machine Learning into Electricity Markets Byzantine Resilience With Reputation Scores
manifold optimization	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
Markov decision process	Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure An Information-Theoretic Analysis of Bayesian Reinforcement Learning Identifying Influential Agents Via Faux Adversarial Games
Markov decision processes	On the connection between reinforcement learning and gradient descent
Markov game	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
matrix completion	Classifying Incomplete Data with a Mixture of Subspace Experts
Matrix inversion	Secure Linear MDS Coded Matrix Inversion
Matrix scaling	Selecting the Number of Communities in Count-Weighted Networks
Maximum mean discrepancy	A Survey of Dynamic Watermarking Algorithms and Some Recent Developments
MDS erasure codes	Secure Linear MDS Coded Matrix Inversion
mean estimation	Leveraging Spatial and Temporal Correlations in Distributed Learning
Mechanism Design	The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash?
meta-learning	On representation learning with Model-Agnostic Meta-Learning
Meta-Model	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
MIMO	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
minimax lower bound	Beyond UCB: statistical complexity and optimal algorithm for non-linear ridge bandits
minimax optimal	Policy Gradient Method For Robust Reinforcement Learning
minimax problems	GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems
minimum error entropy	Trimmed Minimum Error Entropy for Robust Online Regression
minrank	Hardness of Linear Index Coding on Perturbed Instances
missing data	Classifying Incomplete Data with a Mixture of Subspace Experts
Mixed equilibrium	Equilibrium characterizations of multi-resource Lotto games
Mixed Regression	Global Convergence of Federated Learning for Mixed Regression
Mixture model	Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
Model Based Reconstruction	Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium
model deviation	Policy Gradient Method For Robust Reinforcement Learning
Model Predictive Control	Adversarial Examples for Model-Based Control: A Sensitivity Analysis
Model selection	Selecting the Number of Communities in Count-Weighted Networks
model uncertainty	Policy Gradient Method For Robust Reinforcement Learning
Model-Based Control	Adversarial Examples for Model-Based Control: A Sensitivity Analysis
Moment Bounds	Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
Monotone games	Symmetric Natural Policy Gradient for Regularized Multi-Agent Learning with Parameter Convergence
Multi-agent learning	Symmetric Natural Policy Gradient for Regularized Multi-Agent Learning with Parameter Convergence
Multi-agent online learning	Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
multi-agent reinforcement learning	Identifying Influential Agents Via Faux Adversarial Games
multi-agent systems	Identifying Influential Agents Via Faux Adversarial Games
Multi-armed bandit	Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure Efficient sequential UCB-based Hungarian algorithm for assignment problems Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
multi-armed bandit problem	An Information-Theoretic Analysis of Bayesian Reinforcement Learning
multi-armed bandits	Bandits with Dynamic Arm-acquisition Costs
Multi-Interval Look Ahead Electricity Market	Storage Participation with State-of-Charge Dependent Offers and Bids: Market Clearing, Pricing, and Incentive Compatibility
Multi-message PIR	Multi-Message Private Information Retrieval: A Scalar Linear Solution
Multi-Object Rearrangement	Rubik Tables, Stack Rearrangement, and Multi-Robot Routing
Multi-Robot Path Planning	Rubik Tables, Stack Rearrangement, and Multi-Robot Routing
multi-secretary	The Multisecretary Problem: Regret, Approximation and Learning
multi-server systems	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
Multi-task Learning	On Sample Complexity of Learning Shared Representations: The Asymptotic Regime
multi-task regression	On representation learning with Model-Agnostic Meta-Learning
Multiagent reinforcement learning	Gradient play in stochastic games: stationary points, convergence, and sample complexity
Multiple access channels (MAC)	CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data
multiple data streams	Spatio-temporal Multiple Change-point Detection in Sensor Networks
multiple hypothesis testing	Spatio-temporal Multiple Change-point Detection in Sensor Networks
multivariate dependence decomposition	Multivariate Feature Extraction
multivariate feature extraction	Multivariate Feature Extraction
multivariate interaction	Extracting Unique Information Through Markov Relations
mutual information	An Information-Theoretic Analysis of Bayesian Reinforcement Learning Finite-State Mutual Dimension
N
Nash equilibria	An Interactive Search Game with Two Agents
Nash Equilibrium	The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash? Pricing, competition and market segmentation in ride hailing
Natural policy gradient	Symmetric Natural Policy Gradient for Regularized Multi-Agent Learning with Parameter Convergence
nested H-score	Multivariate Feature Extraction
Network control	Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation
Network Defense	Ensuring the Defense of Paths and Perimeters in Dynamic Defender-Attacker Blotto Games (dDAB) on Graphs
network games	Persuasion in Networks: Public Signals and Cores
Network Information Theory	Achievable Rate Regions for the Gaussian Broadcast Channel with Fixed Blocklength and Per User Reliability
Network Overload	Queueing Delay Minimization in Overloaded Networks via Rate Control
networks	Identifying Influential Agents Via Faux Adversarial Games
neural collapse	A Geometric Analysis of Neural Collapse with Unconstrained Features
Neural networks	Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers
neural tangent kernel (NTK)	Understanding the generalization power of overfitted NTK models: 3-layer vs. 2-layer
Non-convex optimization	Distributed Online Non-convex Optimization with Composite Regret
non-Gaussian noise	Trimmed Minimum Error Entropy for Robust Online Regression
non-linear bandit	Beyond UCB: statistical complexity and optimal algorithm for non-linear ridge bandits
Non-Orthogonal Multiple Access	Achievable Rate Regions for the Gaussian Broadcast Channel with Fixed Blocklength and Per User Reliability
non-stationarity	Bandits with Dynamic Arm-acquisition Costs
nonlinear systems	TaSIL: Taylor Series Imitation Learning System Identification Entropy for Chen-Fliess Series and Their Interconnections Reachability of Chen-Fliess series: A Gradient Descent Approach
normality	Finite-State Mutual Dimension
normalized maximum likelihood	Active Learning for Individual Data via Minimal Stochastic Complexity
NP-hardness	Hardness of Linear Index Coding on Perturbed Instances
O
ODE limit	A concentration bound for distributed stochastic approximation
offline multi-agent reinforcement learning	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
offline reinforcement learning	Is Pessimism Provably Efficient for Offline RL?
online knapsack	The Multisecretary Problem: Regret, Approximation and Learning
online learning	Black-box Control for Linear Dynamical Systems Decentralized Online Influence Maximization
Online linear regression	Trimmed Minimum Error Entropy for Robust Online Regression
Online optimization	Distributed Online Non-convex Optimization with Composite Regret
OOD detection	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
opinion dynamics	Random Adaptation Perspective to Distributed Computation
Optimal detection	Optimal Discrimination Between Two Pure States and Dolinar-Type Coherent-State Detection
Optimal transport	On the sample complexity of entropic optimal transport
optimality	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
Optimization	Momentum-Based Learning and Optimization Dynamics with Stochastic Restarting GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems Black-box Control for Linear Dynamical Systems Repeated Games, Optimal Channel Capture, and Open Problems for Slotted Multiple Access Minimum-Length Trace Reconstruction via Integer Programming Second order methods for min-max optimization with stability guarantees
outlier rejection	Trimmed Minimum Error Entropy for Robust Online Regression
Over-the-Air computation	Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
overparameterization and overfitting	Understanding the generalization power of overfitted NTK models: 3-layer vs. 2-layer
P
PAC	Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
parallelization	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
partial information decomposition	Extracting Unique Information Through Markov Relations
Participation Factors	Optimal Primary- and Secondary-control Design for Grids with Generators and Inverters
path queries	On Learning a Hidden Directed Graph with Path Queries
Perimeter Defense	Ensuring the Defense of Paths and Perimeters in Dynamic Defender-Attacker Blotto Games (dDAB) on Graphs
Permutation codes	Permutation Codes for Correcting a Burst of at Most $t$ Deletions
Personalized Learning	Unbounded Gradients in Federated Leaning with Buffered Asynchronous Aggregation
perturbation	Hardness of Linear Index Coding on Perturbed Instances
phase transition	Phase transitions in the Gaussian database alignment and planted Gaussian matching problems
Phasor Measurement Units	Model-Enhanced Localization of Forced Oscillation Using PMU Data
Physical layer security	Controlled Sensing with Corrupted Commands
planted dense cycles	Detection-Recovery Gap for Planted Dense Cycles
planted structure	Phase transitions in the Gaussian database alignment and planted Gaussian matching problems
Plug-and-Play	Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium
Policy gradient	Policy Gradient based Entropic-VaR Optimization in Risk-Sensitive Reinforcement Learning
Policy Optimization	Markovian Interference in Experiments
Polynomial Codes	Degree Tables for Private Information Retrieval
posterior sampling	A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
Potential game	Equilibrium analysis of game on heterogeneous networks with coupled activities
power electronics	Approaches to Analysis of Power System Dynamics with High Penetration of Inverter Interfaced Devices
Power System Control	Stable and Decentralized Learning for Voltage Regulation
Power system dynamic performance	Dynamic Performance of Unified Grid-Forming/Following Inverter Control
Power System Dynamics	Model-Enhanced Localization of Forced Oscillation Using PMU Data Approaches to Analysis of Power System Dynamics with High Penetration of Inverter Interfaced Devices
Power system stability	Compensating Network Dynamics in Grid-Forming Control
power systems	Data-driven estimation of probabilistic constraints for network-safe distributed energy resource control
Power Systems Control	Graph Convolutional Neural Networks for Control of Smart Inverters in Power Grids
Preference learning	Learning Preference Distributions From Distance Measurements
Primary- and Secondary-frequency Control	Optimal Primary- and Secondary-control Design for Grids with Generators and Inverters
privacy	Data-Driven Sequential Change Detection in Privacy-Sensitive Networks Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy
Private information retrieval	Multi-Message Private Information Retrieval: A Scalar Linear Solution
Private Information Retrieval (PIR)	Degree Tables for Private Information Retrieval
proportional asymptotics	The TAP free energy for high-dimensional linear regression with uniform spherical prior
proximal methods	Proximal methods for self-healing and exact distributed convex optimization
public signals	Persuasion in Networks: Public Signals and Cores
pure exploration	Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
pursuit-evasion games	Mixed Strategies with Finite Support in Continuous Spaces: A Case Study in Trajectory Games
Q
q function	Identifying Influential Agents Via Faux Adversarial Games
Q-linear convergence	Q-linear Convergence of Distributed Optimization with Barzilai-Borwein Step Sizes
Quantization	Distributed Consensus-based Kalman Filter under Limited Communication
Quantum Decision Maker	Quickest Detection with Anticipatory and Quantum Decision Makers
Quantum detection	Optimal Discrimination Between Two Pure States and Dolinar-Type Coherent-State Detection
Quasi-Newton methods	Q-linear Convergence of Distributed Optimization with Barzilai-Borwein Step Sizes
Queueing theory	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation
queuing system	Learning-based Optimal Admission Control in a Single Server Queuing System
Quickest change detection	Quickest Detection with Anticipatory and Quantum Decision Makers
R
random access	Throughput optimized random access channel assignment
random adaptation	Random Adaptation Perspective to Distributed Computation
random features	Overparameterization improves robustness to covariate shift in high dimensions
Randomized algorithm	Multi-Message Private Information Retrieval: A Scalar Linear Solution
Ranking	Ignoring Causality to Improve Ranking
Rate Control	Queueing Delay Minimization in Overloaded Networks via Rate Control
Reachability	Reachability of Chen-Fliess series: A Gradient Descent Approach
reachability analysis	Approaches to Analysis of Power System Dynamics with High Penetration of Inverter Interfaced Devices
regret guarantees	The Multisecretary Problem: Regret, Approximation and Learning
reinforcement learning	Graph Convolutional Neural Networks for Control of Smart Inverters in Power Grids Bias in Stochastic Approximation Cannot Be Eliminated With Averaging Schedule Based Temporal Difference Algorithms Near-optimal algorithms for Imitation Learning Policy Gradient based Entropic-VaR Optimization in Risk-Sensitive Reinforcement Learning Beyond No Regret: Instance-Dependent PAC Reinforcement Learning Stability and Safety Constrained Reinforcement Learning for Voltage Control Stable and Decentralized Learning for Voltage Regulation On the connection between reinforcement learning and gradient descent Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers An Information-Theoretic Analysis of Bayesian Reinforcement Learning Identifying Influential Agents Via Faux Adversarial Games
representation	Representation-assisted Reinforcement Learning under Distribution Shift
representation learning	A Geometric Analysis of Neural Collapse with Unconstrained Features On representation learning with Model-Agnostic Meta-Learning A Kernel Analysis of Feature Learning in Deep Neural Networks
Resource allocation	Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation
Reversible Codes	Bounds on Reversible, Complement, Reversible-Complement, Constant Weight Sum Codes
Reversible-Complement Codes	Bounds on Reversible, Complement, Reversible-Complement, Constant Weight Sum Codes
reward poisoning attack	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
ride-hailing platforms	Pricing, competition and market segmentation in ride hailing
risk	Bringing Data Science and Machine Learning into Electricity Markets
Risk-Aware Control	Risk-Aware Safe Optimal Control of Uncertain Linear Systems
RL	Markovian Interference in Experiments
Robust filtering	Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering
Robust learning	A distributionally robust approach to domain adaptation Trimmed Minimum Error Entropy for Robust Online Regression
robust optimization	Second order methods for min-max optimization with stability guarantees
robust policy gradient	Policy Gradient Method For Robust Reinforcement Learning
robust reinforcement learning	Policy Gradient Method For Robust Reinforcement Learning
S
saddle-point problems	Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems
Safe Control	Risk-Aware Safe Optimal Control of Uncertain Linear Systems
Safety	A safe pricing algorithm for distributed demand management
safety control synthesis	Guaranteeing safety for systems with missing measurements
sample compelxity	Gradient play in stochastic games: stationary points, convergence, and sample complexity
sample complexity	Beyond No Regret: Instance-Dependent PAC Reinforcement Learning On Sample Complexity of Learning Shared Representations: The Asymptotic Regime
Scalar linear network coding	Multi-Message Private Information Retrieval: A Scalar Linear Solution
Schedule based learning	Schedule Based Temporal Difference Algorithms
Scheduling	Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation
scheduling algorithms	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
Schroedinger bridge	On the sample complexity of entropic optimal transport
Second-order cone programming	Convex Optimization of Bioprocesses
secrecy	Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy
Secure coded computing	Secure Linear MDS Coded Matrix Inversion
Secure Distributed Matrix Multiplication (SDMM)	Degree Tables for Private Information Retrieval
sensitivity	Identifying Influential Agents Via Faux Adversarial Games
Sensor Networks	Quickest Detection of a Threat to an Impending Disaster
Sequential analysis	Efficient SPRT-based Best Arm Identification in Stochastic Bandits
sequential change detection	Window-Limited CUSUM for Sequential Change Detection Data-Driven Sequential Change Detection in Privacy-Sensitive Networks
Sequential detection	Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning
sequential methods	Efficient sequential UCB-based Hungarian algorithm for assignment problems
session code: BIHU3	Mixed Strategies with Finite Support in Continuous Spaces: A Case Study in Trajectory Games
SGD	Byzantine Resilience With Reputation Scores
Shannon entropy	Finite-State Mutual Dimension
Shannon Theory	On the Limits of Distributed Agreement between Correlated Sources
Shortest-Rememaining-Processing-Time	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
Single-phase radial network	Inverse Power Flow Problem
Singular subspace	Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
Social networks	Persuasion in Networks: Public Signals and Cores Decentralized Online Influence Maximization
Sparse-view CT	Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium
sparsification	Leveraging Spatial and Temporal Correlations in Distributed Learning
Spectral clustering	Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
Spectral perturbation	Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
Spectral thresholding	Selecting the Number of Communities in Count-Weighted Networks
SRPT	Optimal Scheduling for Multi-Server Systems: Adversarial versus Stochastic Viewpoints
stability	Second order methods for min-max optimization with stability guarantees
stabilization	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
State-of-Charge Dependent Offers and Bids	Storage Participation with State-of-Charge Dependent Offers and Bids: Market Clearing, Pricing, and Incentive Compatibility
Statistical machine learning	Bias in Stochastic Approximation Cannot Be Eliminated With Averaging
Statistical rates	On the sample complexity of entropic optimal transport
Statistical Signal Processing	Quickest Detection of a Threat to an Impending Disaster
Stepwise procedure	Selecting the Number of Communities in Count-Weighted Networks
Stochastic approximation	Bias in Stochastic Approximation Cannot Be Eliminated With Averaging
Stochastic approximation algorithms	Schedule Based Temporal Difference Algorithms
stochastic control	Repeated Games, Optimal Channel Capture, and Open Problems for Slotted Multiple Access
stochastic games	Gradient play in stochastic games: stationary points, convergence, and sample complexity
Storage	Storage Participation with State-of-Charge Dependent Offers and Bids: Market Clearing, Pricing, and Incentive Compatibility
Strategic Communication	Strategic Communication via Cascade Multiple-Description Network
strong data processing inequalities	Oversquashing in GNNs through the lens of information contraction and graph expansion
Strong LLN	Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
structure learning	Recursive Causal Structure Learning
Subpacketization	Multi-Message Private Information Retrieval: A Scalar Linear Solution
subspace clustering	Classifying Incomplete Data with a Mixture of Subspace Experts
sum-rank metric codes	Covering Properties of Sum-Rank Metric Codes
Superlinear convergence	Q-linear Convergence of Distributed Optimization with Barzilai-Borwein Step Sizes
system identification	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory System Identification Entropy for Chen-Fliess Series and Their Interconnections
T
TAP free energy	Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Temporal Communication Dependencies	Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
Temporal difference learning	Schedule Based Temporal Difference Algorithms
time-scale theory	Approaches to Analysis of Power System Dynamics with High Penetration of Inverter Interfaced Devices
Time-varying resource requirements	Maximizing Utilization in Large Systems Serving Jobs with Time-Varying Resource Requirements
Timeseries Forecasts	Adversarial Examples for Model-Based Control: A Sensitivity Analysis
trajectory games	Mixed Strategies with Finite Support in Continuous Spaces: A Case Study in Trajectory Games
transaction channels	How to Charge Lightning: The Economics of Bitcoin Transaction Channels
Transfer learning	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model Representation-assisted Reinforcement Learning under Distribution Shift
trust region method	Grassmannian packings: Trust region stochastic tuning for matrix incoherence
two time scale algorithms	A concentration bound for distributed stochastic approximation
two-sided queues	Pricing, competition and market segmentation in ride hailing
Two-time scale approximation	Byzantine Resilience With Reputation Scores
U
UCB algorithm	Beyond UCB: statistical complexity and optimal algorithm for non-linear ridge bandits
Ultra-Reliable Low Latency Communications	Achievable Rate Regions for the Gaussian Broadcast Channel with Fixed Blocklength and Per User Reliability
Uncertain Systems	Risk-Aware Safe Optimal Control of Uncertain Linear Systems
uncertainty	Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy
Uncertainty Quantification	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
unique information	Extracting Unique Information Through Markov Relations
universal prediction	Active Learning for Individual Data via Minimal Stochastic Complexity
universality	Universality of High-Dimensional Estimation with Nearly Deterministic Sensing Matrices
Unsourced random access	Finite-Blocklength Results for the A-channel: Applications to Unsourced Random Access and Group Testing
Unsupervised deep learning	Robust Deep Image Prior with Partial Guidance
Upper Confidence Bound	Efficient sequential UCB-based Hungarian algorithm for assignment problems
urban mobility	Information provision to manage strategic agents over star networks - static and dynamic designs
Utilization in datacenters	Maximizing Utilization in Large Systems Serving Jobs with Time-Varying Resource Requirements
V
value function	Identifying Influential Agents Via Faux Adversarial Games
variable length coding	An Error Exponent for the AWGN Channel with Decision Feedback and Lattice Coding
Variational inequality	Equilibrium analysis of game on heterogeneous networks with coupled activities
variational inference	Local convexity of the TAP free energy and AMP convergence for Z2-synchronization The TAP free energy for high-dimensional linear regression with uniform spherical prior
varying charging rate	The Effects of Varying Charging Rates on Optimal Charging Station Choices for Electric Vehicles
Voltage control	Stability and Safety Constrained Reinforcement Learning for Voltage Control
Voltage Regulation	Stable and Decentralized Learning for Voltage Regulation
voters model	Random Adaptation Perspective to Distributed Computation
W
Wardrop equilibrium	Pricing, competition and market segmentation in ride hailing
Warehouse Automation	Rubik Tables, Stack Rearrangement, and Multi-Robot Routing
Wasserstein distance	An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Wastewater treatment	Convex Optimization of Bioprocesses
wireless	Throughput optimized random access channel assignment
Wireless communications	CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data
wireless scheduling	Throughput optimized random access channel assignment
worst-case	Asymptotically Optimal Worst-Case State Estimation over Noisy Channels
Z
zero-error	Asymptotically Optimal Worst-Case State Estimation over Noisy Channels
Zero-error source coding	Zero-error Coding for Computing with Encoder Side-information
Zero-sum game	Equilibrium characterizations of multi-resource Lotto games
zero-sum games	The Art of Concession in General Lotto Games
Zero-sum matrix and Markov games	Symmetric Natural Policy Gradient for Regularized Multi-Agent Learning with Parameter Convergence
Zeroth-order Methods	Escaping saddle points in zeroth-order optimization: two function evaluations suffice

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