2024 ALLERTON: 60TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING

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A. Chou, Rémi	SPIR with Colluding and Non-Replicated Servers from a Noisy Channel Distributed Matrix Multiplication: Download Rate, Randomness and Privacy Trade-Offs
A. Kamhoua, Charles	A Hypothesis Testing-based Framework for Cyber Deception with Sludging
Adonsou, Serge	Unified and Generalized Approach to Entanglement-Assisted Quantum Error Correction
Aeron, Shuchin	Distributionally Robust Optimal Transport for Improved Model Robustness
Agnihotri, Samar	Lossless Binary Image Compression Using Learned Multi-level Dictionaries
Agrawal, Shubhada	Markov Chain Variance Estimation: A Stochastic Approximation Approach
Akyol, Emrah	Strategic Quantization with Quadratic Distortion Measures
Al-Jarrah, Mohammad	Nonlinear Filtering with Brenier Optimal Transport Maps
Alghamdi, Wael	Optimized Mechanisms for Differentially Private Composition
Alizadeh, Mahnoosh	Communication-efficient and Decentralized Federated Minimax Optimization
Altman, Eitan	Constrained Correlated Equilibria
Amin, Saurabh	Designing interventions in multi-activity network games for forest resource management
Aminian, Gholamali	An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels
Anand, Anju	Strategic Quantization with Quadratic Distortion Measures
Arefizadeh, Sina	Non-Monotone Variational Inequalities
Arnold, Daniel	Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems
Arsenii, Mustafin	Solving Markov Decision Processes via Reward Balancing
Asoodeh, Shahab	Optimized Mechanisms for Differentially Private Composition
Aspeel, Antoine	Control with minimum data-transmission
Assaad, Mohamad	Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Atia, George	Distributionally Robust Optimal Transport for Improved Model Robustness
Awad, Akram	Distributionally Robust Optimal Transport for Improved Model Robustness
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Baeckeland, Nathan	Equivalent-circuit Models for Grid-forming Inverters under Unbalanced Steady-State Operating Conditions
Banerjee, Siddhartha	Instance-Optimality in Online Learning
Banerjee, Sinjini	A robust testing approach to measuring model varability
Banerjee, Taposh	Robust Score-Based Quickest Change Detection
Beemer, Allison	Authenticated partial correction over AV-MACs: toward characterization and coding
Behjoo, Hamidreza	Harmonic Path Integral Diffusion
Ben-Hur, Yuval	Graph Codes for Dual-Parameter Barrier Channels
Bennakhi, Ahmad	Solving the B-SAT Problem Using Quantum Computing: Smaller is Sometimes Better
Bhatt, Alankrita	Instance-Optimality in Online Learning
Bibaut, Aurelien	Post-Contextual Bandit Inference with Adaptive Stopping
Boffi, Nicholas	Stochastic interpolants: A unifying framework for flows and diffusions
Borggaard, Jeff	Scalable computations for nonlinear balanced truncation model reduction
Borkar, Vivek	Minkowski Descent: An Algorithm for Stochastic Global Optimization
Boufous, Omar	Constrained Correlated Equilibria
Bouhtou, Mustapha	Constrained Correlated Equilibria
Brahma, Swastik	A Hypothesis Testing-based Framework for Cyber Deception with Sludging
Bravard, Christophe	Price of Anarchy of a Censorship Policy removing Misinformation in a Social Network
Bu, Yuheng	An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels Adaptive Text Watermark for Large Language Models
Bullo, Francesco	A sufficient condition for 2-contraction of a feedback interconnection
Byrd, Greg	Solving the B-SAT Problem Using Quantum Computing: Smaller is Sometimes Better
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Cadambe, Viveck	The Power Method with Row Erasures
Calmon, Flavio	Differential Privacy in the Large Composition Regime Optimized Mechanisms for Differentially Private Composition
Camps Moreno, Eduardo	Binary Triorthogonal and CSS-T Codes for Quantum Error Correction
Cannon, Reilly	A robust testing approach to measuring model varability
Caramanis, Constantine	On solving inverse problems in computer vision using latent diffusion models
Carrasco, Matias	Caching or Pre-fetching? The Role of Hazard Rates
Cassuto, Yuval	Graph Codes for Dual-Parameter Barrier Channels
Chandrasekaran, Venkat	Optimal Regularization for a Data Source
Chang, Chin-Yao	Adaptive Online Model Update Algorithm for Predictive Control in Networked Systems
Chatterjee, Sushobhan	Sensitivity to Hopf Bifurcation in Grid-Following Inverters Using Normal Vector Methods
Chen, Daiwei	Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Chen, Haobo	An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels
Chen, Muhao	Mitigating Backdoor Threats to Large Language Models
Chen, Tianyi	Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems
Chen, Xuanzhou	Learning the eye of the beholder: Statistical modeling and estimation for personalized color perception
Chen, Yen Shao	Shaping opinions in social networks with shadow banning
Chen, Yi	Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Chen, Yudong	Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive Stochastic Approximation
Chen, Yujia	On solving inverse problems in computer vision using latent diffusion models
Chen, Zheng	Temporal Predictive Coding for Gradient Compression in Distributed Learning
Chen, Ziang	Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
Cheng, Andrew	Structured Regularization for SPD Optimization with Side Information
Chertkov, Michael	Harmonic Path Integral Diffusion
Chi, Yuejie	The Sample-Communication Complexity Trade-off in Federated Q-Learning
Chiang, Tony	A robust testing approach to measuring model varability
Chien, Eli	Differentially Private Graph Diffusion with Applications in Personalized PageRanks Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
Cho, Brian	Post-Contextual Bandit Inference with Adaptive Stopping
Chu, Wen-Sheng	On solving inverse problems in computer vision using latent diffusion models
Cohen, Alejandro	Non-Adaptive Multi-Stage Algorithm for Group Testing with Prior Statistics
Cohen, Kobi	Communication-Efficient Federated Learning via Sparse Training with Regularized Error Correction
Cohen, Kobi	Active Change Point Anomaly Detection Over Composite Hypotheses A Masked Pruning-Based Algorithm for Dimensionality Reduction in Federated Learning Systems
Cohen, Yoav	Graph Codes for Dual-Parameter Barrier Channels
Cohen-Portnoy, Ayelet	Non-Adaptive Multi-Stage Algorithm for Group Testing with Prior Statistics
Conway, Rylan	Training Language Models on Private Federated Data in the Age of LLMs
Cooper, Austin	Quickest Change Detection Using Mismatched CUSUM
Corbin, Nick	Scalable computations for nonlinear balanced truncation model reduction
Cortes, Jorge	Stability-Constrained Voltage Control in Distribution Grids
Cummings, Rachel	Differentially Private Space-Efficient Algorithms for Frequency Moment Estimation in the Turnstile Model Robust Distribution Estimation via Partial Optimal Transport
Curtis, Frank E.	Stochastic-Gradient-based Interior-Point Methods
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Dauphinais, Guillaume	Unified and Generalized Approach to Entanglement-Assisted Quantum Error Correction
Declercq, David	Quantum LDPC Codes: Constructions and Decoders Handling Degeneracy
Devroye, Natasha	Higher-order Interpretations of Deepcode, a Learned Feedback Code
DeWeese, Alex	Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
Deylam Salehi, Mohammad Reza	Multi-Functional Distributed Computing
Dhople, Sairaj	Equivalent-circuit Modeling Framework to Facilitate Large-signal Stability Assessment of Inverter-based Resources
Diakonikolas, Ilias	Robustly Learning Single-Index Models via Alignment Sharpness
Diakonikolas, Jelena	Robustly Learning Single-Index Models via Alignment Sharpness
Didi, Liad Lea	Active Change Point Anomaly Detection Over Composite Hypotheses
Duffy, Ken	Finite-Length Coding Bounds via Guesswork
Durand, Helen	Feedback-based quantum algorithms: Extensions to real-time feedback
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Edin, Adrian	Temporal Predictive Coding for Gradient Compression in Distributed Learning
Eghbal, Sina	Restricted Converse Results for g-Group Complete-{s} Pliable Index Coding Problems
El Rouayheb, Salim	You Shall Not Leak Your Brother's Data: Privacy Control in the Presence of Correlation
Elia, Nicola	A synthesis approach for distributed H2 control problems with communication delays
Elia, Petros	Multi-Functional Distributed Computing
Epasto, Alessandro	Differentially Private Space-Efficient Algorithms for Frequency Moment Estimation in the Turnstile Model
Erol, Hasan Sabri Melihcan	An Information Geometric Analysis of Noise Contrastive Estimation
F
Fanti, Giulia	Training Language Models on Private Federated Data in the Age of LLMs
Fattahi, Salar	Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
Feng, Jie	Stability-Constrained Voltage Control in Distribution Grids
Ferragut, Andres	Caching or Pre-fetching? The Role of Hazard Rates
Fields, Greg	Active Exploration for Minimax Estimation in MDPs
Franzon, Paul	Solving the B-SAT Problem Using Quantum Computing: Smaller is Sometimes Better
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Gafni, Tomer	Active Change Point Anomaly Detection Over Composite Hypotheses
Geng, Baocheng	A Hypothesis Testing-based Framework for Cyber Deception with Sludging
Geng, Sijia	Sensitivity to Hopf Bifurcation in Grid-Following Inverters Using Normal Vector Methods
Gez, Tamir L.S.	A Masked Pruning-Based Algorithm for Dimensionality Reduction in Federated Learning Systems
Ghiasvand, Sajjad	Communication-efficient and Decentralized Federated Minimax Optimization
Ghosal, Ritwik	Lossless Binary Image Compression Using Learned Multi-level Dictionaries
Gilani, Atefeh	Optimized Mechanisms for Differentially Private Composition
Goebel, Rafal	Lyapunov-like converse result for strong forward invariance
Goldfeld, Ziv	Robust Distribution Estimation via Partial Optimal Transport Differentially Private Sinkhorn Algorithm
Goldsmith, Andrea	Private Online Community Detection for Censored Block Models
Gomez, Juan Felipe	Optimized Mechanisms for Differentially Private Composition
Gong, Tingnan	Higher-criticism for multi-sensor sparse change-point detection
Gooty, Siva Aditya	Strategies for Rate Optimization in Joint Sensing and Communication over Channels with Memory
Greidi, Ran	Communication-Efficient Federated Learning via Sparse Training with Regularized Error Correction
Grigorescu, Elena	Differential Privacy and Sublinear Time are Incompatible Sometimes
Grosof, Izzy	Transform Method for Markov-Modulated Queues
Gross, Dominic	Grid-forming control of renewable generation and hybrid ac/dc power systems
Grover, Pulkit	Understanding Neural Population Communication with Latent Channels
Gu, Quanquan	Self-Play Preference Optimization for Language Model Alignment
Gu, Xihe	Active Exploration for Minimax Estimation in MDPs
Gu, Yiwen	Exploring Feasible Transition from Local to Global Optima in Power Systems
Gugercin, Serkan	Scalable computations for nonlinear balanced truncation model reduction
Guo, Dongning	Traffic-driven Spectrum and Power Allocation via Scalable Multi-agent Reinforcement Learning
Gupta, Abhishek K.	Acceptance in Postselected Asymptotic Quantum State Discrimination
Gupta, Prerit	Lossless Binary Image Compression Using Learned Multi-level Dictionaries
Gupta, Saurabh Kumar	Acceptance in Postselected Asymptotic Quantum State Discrimination
Gökduman, Mert	Erasure Decoding for Quantum LDPC Codes via Belief Propagation with Guided Decimation
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Hadjicostis, Christoforos	Acknowledgment Feedback in Directed Graphs via Deterministic and Probabilistic Strategies
Hajar, Joudi	Optimal Infinite-Horizon Mixed $H_2 / H_\infty$ Control
Halder, Abhishek	Weyl Calculus and Exactly Solvable Schrödinger Bridges with Quadratic State Cost
Hassibi, Babak	Optimal Infinite-Horizon Mixed $H_2 / H_\infty$ Control
Ho, Matthew	On the Capacity of Scalar Gaussian Channels Subject to State Obfuscation
Hosseini, Bamdad	Nonlinear Filtering with Brenier Optimal Transport Maps
Hou, Charlie	Training Language Models on Private Federated Data in the Age of LLMs
Hsieh, Min-Hsiu	Transform Arbitrary Good Quantum LDPC Codes into Good Geometrically Local Codes in Any Dimension
Hu, Xia	Efficient LLM Serving via Lossy Computation
Huo, Lucy	Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive Stochastic Approximation
Hurtado-Lange, Daniela	Transform Method for Markov-Modulated Queues
J
Jafarpour, Saber	Reachability Analysis of Dynamical Systems: A Mixed Monotone Contracting Approach
Javidi, Tara	Active Exploration for Minimax Estimation in MDPs
Ji, Kaixuan	Self-Play Preference Optimization for Language Model Alignment
Jin, Jiejun	An Information Geometric Analysis of Noise Contrastive Estimation
Jin, Niyizhen	Nonlinear Filtering with Brenier Optimal Transport Maps
Johansson, Mikael	Temporal Predictive Coding for Gradient Compression in Distributed Learning
K
K. Varshney, Pramod	A Hypothesis Testing-based Framework for Cyber Deception with Sludging
Kallus, Nathan	Post-Contextual Bandit Inference with Adaptive Stopping
Kamble, Vijay	Incentives for Exploration at Market Equilibrium
Kapoor, Sanjiv	Fairness of Equilibrium in Proportional Sharing Mechanisms with Bid Costs
Kara, Ali	Regularity and Approximations for Partially Observed Stochastic Control and Applications to Learning
Kargin, Taylan	Optimal Infinite-Horizon Mixed $H_2 / H_\infty$ Control
Kazemi, Fatemeh	A New Framework for Designing Polynomial Codes for Private Information Retrieval
Kerimkulov, Bekzhan	A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces
Khatana, Vivek	Distributed Difference of Convex Optimization Adaptive Online Model Update Algorithm for Predictive Control in Networked Systems
Kieffer, Michel	Temporal Predictive Coding for Gradient Compression in Distributed Learning
Kipnis, Alon	Higher-criticism for multi-sensor sparse change-point detection
Koepke, Duncan	Authenticated partial correction over AV-MACs: toward characterization and coding
Kosut, Oliver	Optimized Mechanisms for Differentially Private Composition
Kramer, Boris	Scalable computations for nonlinear balanced truncation model reduction
Kribs, David	Unified and Generalized Approach to Entanglement-Assisted Quantum Error Correction
Krishnamurthy, Vikram	Characterization of Slow Convergence in Word-of-Mouth Social Learning
Kumar, Abhinav	A Hypothesis Testing-based Framework for Cyber Deception with Sludging
Kumar, Abhishek	On solving inverse problems in computer vision using latent diffusion models
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L.A., Prashanth	Markov Chain Variance Estimation: A Stochastic Approximation Approach
Lai, Lifeng	Robust Conditional Value-at-Risk Based Risk-Sensitive Reinforcement Learning
Lan, Guanghui George	Value Mirror Descent For Reinforcement Learning
Laneman, J. Nicholas	Capacity of a Complex-Valued Gaussian Channel with Frequency Offset
Larson, Jeffrey	Specialized Numerical Optimization Algorithms for QIS
Lazar, Daniel	Training Language Models on Private Federated Data in the Age of LLMs
Le, Trang	Training Language Models on Private Federated Data in the Age of LLMs
Leahy, James-Michael	A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces
Lee, Donghwan	Suppressing Overestimation in Q-Learning through Adversarial Behaviors
Lee, Dongmin	Contraction Coefficients of Product Symmetric Channels
Lee, Hyeann	Suppressing Overestimation in Q-Learning through Adversarial Behaviors
Leong, Oscar	Optimal Regularization for a Data Source
Lesieutre, Bernard	Exploring Feasible Transition from Local to Global Optima in Power Systems
Lev, Omri	On the Capacity of Scalar Gaussian Channels Subject to State Obfuscation
Li, Jiayi	Balancing Fairness and Efficiency in Power Systems with Large and Small Users
Li, Manling	From Large Language Models to Large Agent Models: Planning and Reasoning with Physical World Knowledge
Li, Na	Localized spectral representations for reinforcement learning in networked MDPs
Li, Pan	Differentially Private Graph Diffusion with Applications in Personalized PageRanks Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
Li, Siying	Decentralized Equitable Energy Access in Energy Communities
Li, Xingjian	Transform Arbitrary Good Quantum LDPC Codes into Good Geometrically Local Codes in Any Dimension
Li, Yunzhu	Foundation Models for Robotic Manipulation: Opportunities and Challenges
Lin, Ting-Chun	Transform Arbitrary Good Quantum LDPC Codes into Good Geometrically Local Codes in Any Dimension
Liu, Jingyu	Minimax Rate Optimal Algorithms For High-Dimensional Stochastic Linear Bandits
Liu, Qin	Mitigating Backdoor Threats to Large Language Models
Liu, Xiangyu	Do LLM Agents Have Regret? A Case Study in Online Learning and Games
Liu, Yepeng	Adaptive Text Watermark for Large Language Models
Low, Steven	Reverse Kron Reduction on Trees
Lu, Yiping	Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls
Lufkin, Leon	Sharp information-theoretic thresholds for shuffled linear regression
Luo, Bing	Incentive Mechanism Design for Federated Learning with Unstateful Clients
Lykouris, Thodoris	Learning to Defer in Content Moderation: The Human-AI Interplay
López, Hiram	Binary Triorthogonal and CSS-T Codes for Quantum Error Correction
M
Ma, Jianhao	Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
Magann, Alicia	Feedback-based quantum algorithms: Extensions to real-time feedback
Maguluri, Siva Theja	Markov Chain Variance Estimation: A Stochastic Approximation Approach
Mahdavifar, Hessam	Strategies for Rate Optimization in Joint Sensing and Communication over Channels with Memory
Makur, Anuran	Contraction Coefficients of Product Symmetric Channels
Malak, Derya	Multi-Functional Distributed Computing
Malik, Vikrant	Optimal Infinite-Horizon Mixed $H_2 / H_\infty$ Control
Mallada, Enrique	Generalized Barrier Functions: Integral Conditions & Recurrent Relaxations
Mao, Cheng	Impossibility of latent inner product recovery via rate distortion
Mao, Jieming	Differentially Private Space-Efficient Algorithms for Frequency Moment Estimation in the Turnstile Model
Margaliot, Michael	A sufficient condition for 2-contraction of a feedback interconnection
Mariona, Alexander	Finite-Length Coding Bounds via Guesswork
Marrinan, Tim	A robust testing approach to measuring model varability
Marvian, Iman	New methods for quantum circuit synthesis with symmetry-respecting gates
Massoulié, Laurent	collaborative exploration of unknown environments
Mathieu, Johanna	Fair-Over-Time Distributed Energy Resource Coordination
Matthews, Gretchen	Binary Triorthogonal and CSS-T Codes for Quantum Error Correction
Matveev, Alexey	Remote robust state estimation problem
Mazumdar, Eric	Tractable Equilibrium Computation in Markov Games through Risk Aversion
Merkley, Amanda	Understanding Neural Population Communication with Latent Channels
Merl, Dan	Linearly Solvable General-Sum Markov Games
Meyn, Sean	Quickest Change Detection Using Mismatched CUSUM
Mhanna, Elissa	Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Miller, Caleb	Linearly Solvable General-Sum Markov Games
Mo, Wenjie	Mitigating Backdoor Threats to Large Language Models
Modiano, Eytan	Linear-time Scheduling for Time-varying Wireless Networks via Randomization
Mohajer, Soheil	Influence Chain Recovery and Application in Distributed Fact-Checking
Morteza, Amirhosein	Distributed Matrix Multiplication: Download Rate, Randomness and Privacy Trade-Offs
Motoki, Matt	Balancing Fairness and Efficiency in Power Systems with Large and Small Users
Mount, Timothy	Decentralized Equitable Energy Access in Energy Communities
Moushegian, Sean	Robust Score-Based Quickest Change Detection
Mujumdar, Omkar	Capacity of a Complex-Valued Gaussian Channel with Frequency Offset
Mukherjee, Tamalika	Differentially Private Space-Efficient Algorithms for Frequency Moment Estimation in the Turnstile Model
Muller Vasconcelos, Marcos	On the role of network structure in learning to coordinate with bounded rationality
Médard, Muriel	Finite-Length Coding Bounds via Guesswork
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Nadkarni, Priya	Unified and Generalized Approach to Entanglement-Assisted Quantum Error Correction
Nair, Girish	Minimum Data-Rate for Emulating a Linear Feedback System
Nazer, Bobak	The Power Method with Row Erasures OpAMP: Linear Regressions with Erasures
Nedich, Angelia	Non-Monotone Variational Inequalities
Neely, Michael	Opportunistic Learning for Markov Decision Systems with Application to Smart Robots
Nguyen, Quang Minh	Linear-time Scheduling for Time-varying Wireless Networks via Randomization
Ni, Xinyi	Robust Conditional Value-at-Risk Based Risk-Sensitive Reinforcement Learning
Nietert, Sloan	Robust Distribution Estimation via Partial Optimal Transport
Niu, Xiaochun	Personalized Federated Learning with Shared Linear Representation: Statistically Optimal Rates Incentive Analysis for Agent Participation in Federated Learning
Novak, Oskar	GNarsil: Splitting Stabilizers into Gauges
O
O'Reilly, Eliza	Optimal Regularization for a Data Source
Ofir, Ron	A sufficient condition for 2-contraction of a feedback interconnection
Oliveira, Rafael	A New Framework for Designing Polynomial Codes for Private Information Retrieval
Olshevsky, Alex	Solving Markov Decision Processes via Reward Balancing
Ong, Lawrence	Restricted Converse Results for g-Group Complete-{s} Pliable Index Coding Problems
Otten, Matthew	CANOE: The Classically Assisted Non-Orthogonal Eigensolver
Ou, Tingting	Differentially Private Space-Efficient Algorithms for Frequency Moment Estimation in the Turnstile Model
Ozay, Necmiye	Control with minimum data-transmission
Ozbay, Eren	Incentives for Exploration at Market Equilibrium
Ozdaglar, Asuman	Do LLM Agents Have Regret? A Case Study in Online Learning and Games
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Pacenti, Michele	Quantum Margulis Codes
Paganini, Fernando	Caching or Pre-fetching? The Role of Hazard Rates
Pakharev, Aleksei	Solving Markov Decision Processes via Reward Balancing
Panaganti, Kishan	Tractable Equilibrium Computation in Markov Games through Risk Aversion
Pananjady, Ashwin	Sharply predicting optimization trajectories in high-dimensions: State evolutions beyond first-order algorithms Learning the eye of the beholder: Statistical modeling and estimation for personalized color perception
Panciatici, Patrick	Exploring Feasible Transition from Local to Global Optima in Power Systems
Parasnis, Rohit	Designing interventions in multi-activity network games for forest resource management
Park, Chanwoo	Do LLM Agents Have Regret? A Case Study in Online Learning and Games
Paschalidis, Yannis	Solving Markov Decision Processes via Reward Balancing
Patel Keval, Keshav	Minkowski Descent: An Algorithm for Stochastic Global Optimization
Pedarsani, Ramtin	Communication-efficient and Decentralized Federated Minimax Optimization
Petithomme, Jérémy	Price of Anarchy of a Censorship Policy removing Misinformation in a Social Network
Pfister, Henry	Erasure Decoding for Quantum LDPC Codes via Belief Propagation with Guided Decimation
Pogromsky, Alexander	Remote robust state estimation problem
Poor, Vincent	Private Online Community Detection for Censored Block Models
Q
Qin, Junjie	Braess’ Paradoxes in Electrified Transportation
Qu, Guannan	Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
R
Rachid, El-Azouzi	Constrained Correlated Equilibria
Ramdas, Aaditya	Power-one sequential tests, confidence sequences, e-processes and e-detectors
Rameshan, Renu	Lossless Binary Image Compression Using Learned Multi-level Dictionaries
Raveendran, Nithin	Quantum LDPC Codes: Constructions and Decoders Handling Degeneracy
Raviv, Netanel	Beyond PCA: A Gram-Schmidt Approach to Feature Extraction
Reeves, Galen	OpAMP: Linear Regressions with Erasures
Rege, Aniket	Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Reisizadeh, Amirhossein	Communication-efficient and Decentralized Federated Minimax Optimization
Ren, Zhaolin	Localized spectral representations for reinforcement learning in networked MDPs
Rengaswamy, Narayanan	GNarsil: Splitting Stabilizers into Gauges
Rojas, Cristian	Characterization of Slow Convergence in Word-of-Mouth Social Learning
Rossetti, Riccardo	OpAMP: Linear Regressions with Erasures
Rout, Litu	On solving inverse problems in computer vision using latent diffusion models
Ruano, Diego	Binary Triorthogonal and CSS-T Codes for Quantum Error Correction
S
Sacco, Nicholas	The Power Method with Row Erasures
Sadeghi, Parastoo	Restricted Converse Results for g-Group Complete-{s} Pliable Index Coding Problems Privacy-Utility Tradeoff Based on $\alpha$-lift
Sagar, Adithya	Training Language Models on Private Federated Data in the Age of LLMs
Salapaka, Murti	Distributed Difference of Convex Optimization
Salgia, Sudeep	The Sample-Communication Complexity Trade-off in Federated Q-Learning
San-José, Rodrigo	Binary Triorthogonal and CSS-T Codes for Quantum Error Correction
Sankar, Lalitha	Theoretical Guarantees of Data Augmented Last Layer Retraining Methods Optimized Mechanisms for Differentially Private Composition
Sarovar, Mohan	Feedback-based quantum algorithms: Extensions to real-time feedback
Sarwate, Anand	A robust testing approach to measuring model varability
Scaglione, Anna	Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems
Schleppy, Michael	On Non-Local Coset Guessing Quantum Games
Schnell, Michaela	Authenticated partial correction over AV-MACs: toward characterization and coding
Scutari, Gesualdo	Toward Parameter-free Decentralized Optimization
Seif, Mohamed	Private Online Community Detection for Censored Block Models
Serbetci, Berksan	Multi-Functional Distributed Computing
Shafiee, Soroosh	Robust Distribution Estimation via Partial Optimal Transport
Shakkottai, Sanjay	On solving inverse problems in computer vision using latent diffusion models
Sharbafchi, Alireza	Influence Chain Recovery and Application in Distributed Fact-Checking
Shekofteh, Amirhossein	SPIR with Colluding and Non-Replicated Servers from a Noisy Channel
Shen, Yue	Generalized Barrier Functions: Integral Conditions & Recurrent Relaxations
Shi, Laixi	Tractable Equilibrium Computation in Markov Games through Risk Aversion
Shi, Yuanyuan	Stability-Constrained Voltage Control in Distribution Grids
Shrivastava, Akshat	Training Language Models on Private Federated Data in the Age of LLMs
Sibai, Hussein	Generalized Barrier Functions: Integral Conditions & Recurrent Relaxations
Simpson-Porco, John	Hierarchical Control of Distribution Grids with Application to Transmission-Distribution Fast Frequency Control
Singhal, Ananya	Minkowski Descent: An Algorithm for Stochastic Global Optimization
Sinopoli, Bruno	Beyond PCA: A Gram-Schmidt Approach to Feature Extraction
Sirri, Scott	Closing the Duality Gap on Integer Linear Programming
Siska, David	A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces
Soeun, Visal	Designing interventions in multi-activity network games for forest resource management
Soh, Yong Sheng	Optimal Regularization for a Data Source
Soljanin, Emina	On Non-Local Coset Guessing Quantum Games
Song, Yanglei	Minimax Rate Optimal Algorithms For High-Dimensional Stochastic Linear Bandits
Soper, Braden	Linearly Solvable General-Sum Markov Games
Soprunov, Ivan	Binary Triorthogonal and CSS-T Codes for Quantum Error Correction
Sprintson, Alex	A New Framework for Designing Polynomial Codes for Private Information Retrieval
Sriramu, Sharang	Optimal Redundancy in Exact Channel Synthesis
Srivastava, Arunabh	Mobility in Age-Based Gossip Networks
St.Pierre, Madelyn	Authenticated partial correction over AV-MACs: toward characterization and coding
Stern, Saar	Graph Codes for Dual-Parameter Barrier Channels
Stromberg, Nathan	Theoretical Guarantees of Data Augmented Last Layer Retraining Methods
Su, Lili	Personalized Federated Learning with Shared Linear Representation: Statistically Optimal Rates
Sun, Yifan	On the scalability of large graph methods for kernel-based machine learnin
Sun, Zhiqing	Self-Play Preference Optimization for Language Model Alignment
Sundaram, Shreyas	Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers
Szpruch, Lukasz	A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces
T
Tabuada, Paulo	Nonlinear observers with online error bounds
Taghvaei, Amirhossein	Nonlinear Filtering with Brenier Optimal Transport Maps
Tajer, Ali	Sequential Design of Experiments in Causal Systems
Tarokh, Vahid	Robust Score-Based Quickest Change Detection
Tatli, Gokcan	Metric Clustering From Triplet Comparisons
Taylor, Josh	Information Structures in AC/DC Grids
Teter, Alexis	Weyl Calculus and Exactly Solvable Schrödinger Bridges with Quadratic State Cost
Tikkireddi, Preetham	CANOE: The Classically Assisted Non-Orthogonal Eigensolver
Tong, Lang	Decentralized Equitable Energy Access in Energy Communities
Tong, Terry	Mitigating Backdoor Threats to Large Language Models
Touati, Corinne	Price of Anarchy of a Censorship Policy removing Misinformation in a Social Network
Touati, Mikael	Constrained Correlated Equilibria
Touri, Behrouz	Influence Chain Recovery and Application in Distributed Fact-Checking
Turan, Gyorgy	Higher-order Interpretations of Deepcode, a Learned Feedback Code
U
Ulukus, Sennur	Mobility in Age-Based Gossip Networks
Unsal, Ayse	Chernoff Information as a Privacy Constraint for Adversarial Classification
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Vasic, Bane	Quantum LDPC Codes: Constructions and Decoders Handling Degeneracy Quantum Margulis Codes
Vasmer, Michael	Unified and Generalized Approach to Entanglement-Assisted Quantum Error Correction
Vellambi, Badri	Restricted Converse Results for g-Group Complete-{s} Pliable Index Coding Problems
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