PROGRAM
Days: Wednesday, September 27th Thursday, September 28th Friday, September 29th
Wednesday, September 27th
View this program: with abstractssession overviewtalk overview
08:30-10:10 Session WeA1: ADGB1 - Electric Power Systems I
Organizers - Alejandro Dominguez-Garcia and Subhonmesh Bose
Location: Library
| 08:30 | Leveraging Predictions in Power System Frequency Control: an Adaptive Approach (abstract) |
| 08:50 | The Effect of Altruism in the Electricity Network (abstract) |
| 09:10 | Quantifying Confidence in Electricity Rate Plan Recommendations Considering Variability in Future Electricity Usage (abstract) |
| 09:30 | Privacy-Preserving Distributed k-means Clustering with Quantized Communication in Finite Time (abstract) |
08:30-10:10 Session WeA2: VVAZ1 - Robust Inference and Learning
Organizers - Venu Veeravalli, George Atia, and Shaofeng Zou
Location: Solarium
| 08:30 | Theory on Forgetting and Generalization of Continual Learning (abstract) |
| 08:50 | Robust Average-Reward Markov Decision Processes (abstract) |
| 09:10 | Group Fairness with Uncertainty in Sensitive Attributes (abstract) |
| 09:30 | Fine-Tuning Language Models with Advantage-Induced Policy Alignment (abstract) |
| 09:50 | Feature Geometry of Multivariate Dependence and Applications (abstract) |
08:30-10:10 Session WeA3: BHRS1 - Learning and Networks I
Organizers - Bruce Hajek and R. Srikant
Chair:
Thodoris Lykouris (MIT Sloan School of Management, United States)
Location: Butternut
| 08:30 | Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption (abstract) |
| 08:50 | Online Parameter Estimation in Partially Observed Markov Decision Processes (abstract) |
| 09:10 | Adaptive optimization for stochastic renewal systems (abstract) |
| 09:30 | A variational approach to federated and robust learning (abstract) |
| 09:50 | Inverse-Free Zap Stochastic Approximation (abstract) |
08:30-10:10 Session WeA4: OMRE1 - Machine Learning I
Organizers - Olgica Milenkovic and Rasoul Etesami
Location: Pine
| 08:30 | Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing (abstract) |
| 08:50 | Push-sum, Kullback-Leibler Barycenters, and Colored Flows (abstract) |
| 09:10 | Distributed Optimization with Imperfect Information Sharing (abstract) |
| 09:30 | Concentration of Contractive Stochastic Approximation: Additive and Multiplicative Noise (abstract) |
10:30-12:30 Session WeB1: GFVV1 - Sequential Methods I
Organizers - G. Fellouris and V. Veeravalli
Location: Library
| 10:30 | Non-parametric distribution-free CUSUM for online change-point detection (abstract) |
| 10:50 | Score-Based Bayesian Quickest Change Detection (abstract) |
| 11:10 | Data-Driven Sequential Change Detection in Privacy-Sensitive Networks (abstract) |
| 11:30 | An Adaptive Approach for Online Monitoring of Large Scale Data Streams (abstract) |
| 11:50 | Globally-optimal Greedy Experiment Selection For Active Sequential Estimation (abstract) |
| 12:10 | Sequential Change-Point Detection for Correlation Matrices (abstract) |
10:30-12:30 Session WeB2: ADGB2 - Electric Power Systems II
Organizers - Alejandro Dominguez-Garcia and Subhonmesh Bose
Location: Solarium
| 10:30 | Towards constrained grid-forming control (abstract) |
| 10:50 | Participation Factor Analysis of Nonlinear Systems: Beyond Equilibria (abstract) |
| 11:10 | Three-phase Transformer Modeling (abstract) |
10:30-12:30 Session WeB3: RZSF1 - Recent Advances in Optimization I
Organizers - Richard Zhang and Salar Fattahi
Location: Butternut
| 10:30 | The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing (abstract) |
| 10:50 | Stochastic approximation with decision-dependent distributions: asymptotic normality and optimality (abstract) |
| 11:10 | Blessing of Nonconvexity in Factorized Models (abstract) |
| 11:30 | Explorations on scalable preconditioned gradient methods for deep learning (abstract) |
| 11:50 | DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method (abstract) |
| 12:10 | Practical Algorithms for Globally Optimal Geometric Machine Perception (abstract) |
10:30-12:30 Session WeB4: Quantum Computing
Location: Pine
| 10:30 | One-Shot Non-Catalytic Distributed Purity Distillation (abstract) |
| 10:50 | Privacy Amplification Against Quantum Side Information Via Regular Random Binning (abstract) |
| 11:10 | Quantum Key Distribution with State Replacement (abstract) PRESENTER: Michael Graifer |
| 11:30 | Verifying Chemical Reaction Networks with the Isabelle Theorem Prover (abstract) |
13:30-15:10 Session WeC1: ADGB3 - Electric Power Systems III
Organizers - Alejandro Dominguez-Garcia and Subhonmesh Bose
Location: Library
| 13:30 | Aggregating Power Networks for Decentralized Control: A Spectral Clustering Approach (abstract) |
| 13:50 | Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities (abstract) PRESENTER: Lang Tong |
| 14:10 | Dynamic Load Balancing of Selfish Drivers between Spatially Distributed Electrical Vehicle Charging Stations (abstract) |
| 14:30 | Topology-aware Piecewise Linearization of the AC Power Flow through Generative Modeling (abstract) |
13:30-15:10 Session WeC2: BHRS2 - Learning and Networks II
Organizers - Bruce Hajek and R. Srikant
Chair:
Aleksander Stolyar (University of Illinois at Urbana Champaign, United States)
Location: Solarium
| 13:30 | "All-Something-Nothing" Phase Transitions in Planted Subgraph Recovery (abstract) |
| 13:50 | The Reward Biased Method: An Optimism based Approach for Reinforcement Learning (abstract) PRESENTER: P. R. Kumar |
| 14:10 | On representation learning with the InfoNCE loss (abstract) |
| 14:30 | Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms (abstract) |
| 14:50 | Quantifying the Cost of Learning in Queueing Systems (abstract) |
| 15:10 | Stability Guarantees for Feature Attributions with Multiplicative Smoothing (abstract) |
13:30-15:10 Session WeC3: Information Theory and Coding
Location: Butternut
| 13:30 | On Energy-Delay Tradeoff in Uncoordinated MAC (abstract) |
| 13:50 | An Improved Greedy Cover Algorithm for Pliable Index Coding (abstract) |
| 14:10 | Derandomizing Codes for the Binary Adversarial Wiretap Channel of Type II (abstract) |
| 14:30 | Straggler Exploitation in Distributed Computing Systems with Task Grouping (abstract) |
| 14:50 | Coefficient Complexity in Low-Access Quantized Linear Computations (abstract) |
13:30-15:10 Session WeC4: Learning and Inference I
Location: Pine
| 13:30 | Exploring Gradient Oscillation in Deep Neural Network Training (abstract) |
| 13:50 | Robust Transfer Learning Based on Minimax Principle (abstract) PRESENTER: Xinyi Tong |
| 14:10 | Fast max-affine regression via stochastic gradient descent (abstract) |
| 14:30 | Relative Entropy Regularization for Robust Submodular Multi-Task Subset Selection (abstract) |
| 14:50 | Manifold Optimization for Data Driven Reduced-Order Modeling (abstract) PRESENTER: Rachel Newton |
15:30-17:30 Session WeD1: Learning Theory
Location: Library
| 15:30 | Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle (abstract) |
| 15:50 | A Unified Analysis of Dynamic Interactive Learning (abstract) PRESENTER: Thomas Maranzatto |
| 16:10 | Deep Learning Meets Adaptive Filtering: A Stein's Unbiased Risk Estimator Approach (abstract) PRESENTER: Zahra Esmaeilbeig |
| 16:30 | Inverse Reinforcement Learning with Learning and Leveraging Demonstrators' Varying Expertise Levels (abstract) |
| 16:50 | Sequential Dependence Decomposition and Feature Learning (abstract) PRESENTER: Xiangxiang Xu |
15:30-17:30 Session WeD2: Learning and Inference II
Location: Solarium
| 15:30 | A Multidimensional Opinion Evolution Model with Confirmation Bias (abstract) |
| 15:50 | On counterfactual inference with unobserved confounding (abstract) |
| 16:10 | Block-missing data in linear systems: An unbiased stochastic gradient descent approach (abstract) PRESENTER: Michael Strand |
| 16:30 | Learning Fair Classifiers via Min-Max F-divergence Regularization (abstract) |
| 16:50 | The Minimax Risk in Testing the Histogram of Discrete Distributions for Uniformity under Missing Ball Alternatives (abstract) |
15:30-17:30 Session WeD3: Coding Techniques
Location: Butternut
| 15:30 | New results on Erasure Combinatorial Batch Codes (abstract) PRESENTER: Lu Le Phuc |
| 15:50 | Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations (abstract) |
| 16:10 | Trapping and Absorbing Set Enumerators for Multi-Edge Type LDPC Code Ensembles (abstract) |
| 16:30 | An Achievable Low Complexity Encoding Scheme for Coloring Cyclic Graphs (abstract) PRESENTER: Derya Malak |
| 16:50 | Multishot Adversarial Network Decoding (abstract) |
15:30-17:30 Session WeD4: RESU1 - Towards Mathematical Foundation of Federated Learning I
Organizers - Lili Su, Pengkun Yang, Jiaming Xu, and Rasoul Etesami
Location: Pine
| 15:30 | Fedsoft: Soft clustered federated learning with proximal local updating (abstract) |
| 15:50 | Complete Asymptotic Analysis for Projected Stochastic Approximation and Debiased Variants (abstract) PRESENTER: Xiang Li |
| 16:10 | Incentive Mechanism Design for Federated Learning and Unlearning (abstract) |
| 16:30 | High Probability Guarantees For Federated Learning. (abstract) PRESENTER: Sravani Ramishetty |
| 16:50 | A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points (abstract) |
Thursday, September 28th
View this program: with abstractssession overviewtalk overview
08:30-10:10 Session ThA1: BHRS3 - Learning and Networks III
Organizers - Bruce Hajek and R. Srikant
Chair:
Sanjay Shakkotttai (University of Texas Austin, United States)
Location: Library
| 08:30 | Natural Actor-Critic for Robust Reinforcement Learning (abstract) |
| 08:50 | Curse of Dimension of Thompson Sampling for Combinatorial Bandits (abstract) |
| 09:10 | Best Policy Identification in Linear MDPs (abstract) |
| 09:30 | Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD (abstract) PRESENTER: Constantine Caramanis |
| 09:50 | Age of Gossip on a Grid (abstract) |
08:30-10:10 Session ThA2: RZSF2- Recent Advances in Optimization II
Organizers - Richard Zhang and Salar Fattahi
Location: Solarium
| 08:30 | Any-dimensional convex sets (abstract) |
| 08:50 | The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks (abstract) |
| 09:10 | Weights Matter: Linear & Superlinear Convergence Rates for IRLS in Low-Rank Optimization (abstract) |
| 09:30 | A Unified View of Decentralized Algorithms for Sparse Linear Regression (abstract) |
| 09:50 | Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization (abstract) |
08:30-10:10 Session ThA3: Federated learning
Location: Butternut
| 08:30 | Fairness in Distributed Sensor Systems to Detect Emitters (abstract) |
| 08:50 | AltGDMin for Fast Federated Low Rank Matrix Completion (abstract) |
| 09:10 | Communication-efficient Federated Multi-resource Allocation: A Non-homogeneous Markov Chain Model (abstract) PRESENTER: Syed Eqbal Alam |
| 09:30 | Byzantine-resilient Federated Low Rank Column-wise Compressive Sensing (abstract) |
08:30-10:10 Session ThA4: Information Theory
Organizers - Olgica Milenkovic and Ilan Shomorony
Location: Pine
| 08:30 | Single-Shot Lossy Compression for Joint Inference and Reconstruction (abstract) |
| 08:50 | Learning Source Coding for General Alphabets and Finite State Machines (abstract) |
| 09:10 | A Curriculum Learning Approach to Optimization with Application to Downlink Beamforming (abstract) |
| 09:30 | Non-Linear Analog Coding for Image Transmission over Noisy Channels (abstract) |
13:30-15:10 Session ThC1: Learning and Networks IV
Organizers - Bruce Hajek and R. Srikant
Chair:
Richard Sowers (University of Illinois at Urbana Champaign, United States)
Location: Library
| 13:30 | Understanding Self Distillation (abstract) |
| 13:50 | Efficient decentralized multi-agent learning in asymmetric bipartite queueing systems (abstract) |
| 14:10 | Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements (abstract) |
| 14:30 | Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control (abstract) |
| 14:50 | Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games (abstract) |
13:30-15:10 Session ThC2: ABMR1 - Dynamics of Learning I
Organizers - Ali Belabbas, Мах Raginsky, and Philippe Rigollet
Location: Solarium
| 13:30 | Clustering in transformers: an interacting particle systems perspective (abstract) PRESENTER: Borjan Geshkovski |
| 13:50 | Pulling Back from Infinity: Asymptotically Optimal Sampling of Infinite-Dimensional Measurements (abstract) |
| 14:10 | Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Markov Chains (abstract) |
| 14:30 | Super-linearization of Polynomial Systems (abstract) |
| 14:50 | Benign overfitting, calibration, and the benefits of early stopping (abstract) |
13:30-15:10 Session ThC3: OMRE2 - Machine Learning II
Organizers - Olgica Milenkovic and Lu and Rasoul Etesami
Location: Butternut
| 13:30 | Convergence of Heterogeneous Learning Dynamics in Zero-sum Stochastic Games (abstract) PRESENTER: Muhammed Sayin |
| 13:50 | A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning (abstract) |
| 14:10 | Adaptive Identification from a Support Vector Perspective (abstract) |
| 14:30 | Active Ranking without Strong Stochastic Transitivity (abstract) |
| 14:50 | Characterizing optimal loss for adversarial classification versus multiple adversaries (abstract) |
13:30-15:10 Session ThC4: BIHU1 - Certification of Neural Networks I
Organizers - Bin Hu and Huan Zhang
Location: Pine
| 13:30 | Conformal Prediction for STL Runtime Verification (abstract) |
| 13:50 | Analysis of Neural Network Controllers Using Quadratic Constraints (abstract) |
| 14:10 | Neural Network-based Fault Detection and Identification for Quadrotors using Dynamic Symmetry (abstract) PRESENTER: Kunal Garg |
| 14:30 | Interaction-aware interval reachability of neural network controlled systems (abstract) |
| 14:50 | Verification and Design of Robust and Safe Neural Network-enabled Autonomous Systems (abstract) |
15:30-17:30 Session ThD1: Stochastic Methods in Information Systems
Location: Library
| 15:30 | Distributed Storage Over a Public Channel: Trade-off between Privacy and Shared Key Lengths (abstract) |
| 15:50 | Coded Caching with Linear Coded Placement: Exact Tradeoff for the Three User Case (abstract) PRESENTER: Yinbin Ma |
| 16:10 | Multi-terminal Strong Coordination over Noiseless Networks with Secrecy Constraints (abstract) |
| 16:30 | Coded Kalman Filtering Over Gaussian Channels with Feedback (abstract)  PRESENTER: Barron Han |
| 16:50 | Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels (abstract) PRESENTER: Shao-Lun Huang |
15:30-17:10 Session ThD2: YLMD1 - Learning and Estimation in High Dimensions
Location: Solarium
| 15:30 | Why interpolating neural nets generalize well: recent insights from neural tangent model (abstract) |
| 15:50 | A Law of Data Separation in Deep Learning (abstract) |
| 16:10 | Stochastic localization and algorithmic variants (abstract) |
| 16:30 | Achieving Capacity on Non-Binary Channels with Generalized Reed–Muller Codes (abstract) PRESENTER: Henry Pfister |
| 16:50 | Generative Plug and Play: Posterior Sampling for Inverse Problems (abstract) |
15:30-17:30 Session ThD3: Compressed Sensing and Blockmodels
Location: Butternut
| 15:30 | A Fast Algorithm for Low Rank + Sparse column-wise Compressive Sensing (abstract) |
| 15:50 | A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements (abstract) PRESENTER: Muralikrishnna Guruswamy Sethuraman |
| 16:10 | Theoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems (abstract) PRESENTER: Mengyu Zhao |
| 16:30 | Phase Transitions for Diversity in Stochastic Block Model Dynamics (abstract) |
| 16:50 | Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering (abstract) |
15:30-16:30 Session ThD4: Stochastic Systems
Location: Pine
| 15:30 | Subspace Methods for Blind Fractionally-Spaced Equalization of Distributed Phase-Shift Beamforming Signals (abstract) |
| 15:50 | Rotation-Invariant Correlation Features for 2D Sparse Unknown View Tomography (abstract) |
| 16:10 | On Subsampled Quantile Randomized Kaczmarz (abstract) PRESENTER: Jamie Haddock |
| 16:30 | Strategic Quantization of a Noisy Source (abstract) |
Friday, September 29th
View this program: with abstractssession overviewtalk overview
08:30-10:10 Session FrA1: ESTB1 - Learning, Markets, and Games
Organizers - Rasoul Etesami, R. Srikant, and Tamer Basar
Location: Library
| 08:30 | DOLL: Distributed OnLine Learning Using Preemptible Instances (abstract) |
| 08:50 | Priorities and Quotas in Online Matching (abstract) |
| 09:10 | Learning in Network Games with Dynamic Populations (abstract) |
| 09:30 | Information Design for Spatial Resource Allocation (abstract) |
08:30-10:10 Session FrA2: BIHU2 - Certification of Neural Networks II
Organizers - Bin Hu and Huan Zhang
Location: Solarium
| 08:30 | Discovering and Learning from Closed-Loop Failures of Vision-based Controllers. (abstract) |
| 08:50 | Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization (abstract) |
| 09:10 | Towards Rigorous Use of Neural Networks in Nonlinear Control (abstract) |
| 09:30 | Backward Reachability Analysis for Safety Verification of Neural Feedback Loops (abstract) |
| 09:50 | Vulnerability Analysis of Perception-Based Control: Modeling and Fundamental Limits (abstract) |
08:30-10:10 Session FrA3: Game Theory
Location: Butternut
| 08:30 | Bayesian Observational Learning in Mean-Field Games with Imperfect Observations (abstract) |
| 08:50 | Non-myopic agents can stabilize cooperation in feedback-evolving games (abstract) |
| 09:10 | Stochastic Game with Interactive Information Acquisition: A Fixed-Point Alignment Principle (abstract) |
| 09:30 | Characterization of Potential Games: Application in Aggregative Games (abstract) |
| 09:50 | United We Fall: On the Nash Equilibria of Multiplex Network Games (abstract) |
08:30-10:10 Session FrA4: MARA1 - Information, Probability, and Statistics
Location: Pine
| 08:30 | The Saddle-Point Method in Differential Privacy (abstract) |
| 08:50 | Training generative models from privatized data (abstract) |
| 09:10 | Likelihood-free hypothesis testing (abstract) |
| 09:30 | Asymptotics for alpha-posteriors with applications to variational inference (abstract) |
| 09:50 | Near Optimal Differentially Private Client Selection in Federated Settings (abstract) PRESENTER: Syed Eqbal Alam |
10:30-12:30 Session FrB1: OMIS1 - Molecular Storage I
Location: Library
| 10:30 | Embracing errors is more effective than avoiding them through constrained coding for DNA data storage (abstract) PRESENTER: Franziska Weindel |
| 10:50 | Coding for forensic 3D fingerprinting (abstract) |
| 11:10 | The Bee Identification Problem and DNA-Based Data Storage (abstract) |
| 11:30 | Cover Your Bases: How to Minimize the Sequencing Coverage in DNA Storage Systems (abstract) |
| 11:50 | On $k$-Mer-Based and Maximum Likelihood Estimation Algorithms for Trace Reconstruction (abstract) |
10:30-12:50 Session FrB2: RETB1 - Distributed Control, Opt, and Learning
Organizers - Rasoul Etesami and Tamer Basar
Location: Solarium
| 10:30 | Fundamental Limits of Strategic Coordination (abstract) |
| 10:50 | Reinforcement Learning for Stochastic Control under Weak Feller Continuous Models and General Information Structures (abstract) |
| 11:10 | Communication Enabled Collaborations in Multi-Agent Systems (abstract) |
10:30-12:50 Session FrB3: Control Theory
Location: Butternut
| 10:30 | Backward and Inner Approximation of Output Reachable sets via Chen-Fliess Series (abstract) PRESENTER: Ivan Perez Avellaneda |
| 10:50 | A Differential Dynamic Programming-based Approach for Balancing Energy and Time Optimality in Motion Planning (abstract) PRESENTER: Yunshen Huang |
| 11:10 | Linear Operator Differential Equations with Applications to Linear Time-Varying Systems (abstract) |
| 11:30 | Automated Stability Analysis of Piecewise Affine Dynamics Using Vertices (abstract) PRESENTER: Pouya Samanipour |
| 11:50 | Wasserstein Distributionally Robust Regret-Optimal Control under Partial Observability (abstract) |
| 12:10 | Stochastic Control under Correlated Disturbances (abstract) |
10:30-12:50 Session FrB4: Queuing, Scheduling, and Resource Allocation
Location: Pine
| 10:30 | Distributed MARL for Scheduling in Conflict Graphs (abstract) |
| 10:50 | Delay Performance Optimization with Packet Drop (abstract) |
| 11:10 | Dynamic Tolling in Arc-based Traffic Assignment Models (abstract) |
| 11:30 | An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control (abstract) |