Program for Thursday, September 28th: Talk View

PROGRAM FOR THURSDAY, SEPTEMBER 28TH: TALK VIEW

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View: with abstracts session overview

8:30

9:00

9:30

10:00

10:30

11:00

11:30

12:00

12:30

13:00

13:30

14:00

14:30

15:00

15:30

16:00

16:30

17:00

17:30

08:30-08:50

Natural Actor-Critic for Robust Reinforcement Learning

Dileep Kalathil

08:50-09:10

Curse of Dimension of Thompson Sampling for Combinatorial Bandits

Richard Combes, Raymond Zhang

09:10-09:30

Best Policy Identification in Linear MDPs

Jerome Taupin, Yassir Jedra, Alexandre Proutiere

09:30-09:50

Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD

Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai

09:50-10:10

Age of Gossip on a Grid

Arunabh Srivastava, Sennur Ulukus

08:30-08:50

Any-dimensional convex sets

Eitan Levin, Venkat Chandrasekaran

08:50-09:10

The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks

Qing Qu

09:10-09:30

Weights Matter: Linear & Superlinear Convergence Rates for IRLS in Low-Rank Optimization

Christian Kümmerle, Dominik Stöger

09:30-09:50

A Unified View of Decentralized Algorithms for Sparse Linear Regression

Marie Maros, Gesualdo Scutari

09:50-10:10

Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization

Amin Karbasi

08:30-08:50

Fairness in Distributed Sensor Systems to Detect Emitters

Benedito Fonseca Jr

08:50-09:10

AltGDMin for Fast Federated Low Rank Matrix Completion

Ahmed Ali Abbasi, Shana Moothedath, Namrata Vaswani

09:10-09:30

Communication-efficient Federated Multi-resource Allocation: A Non-homogeneous Markov Chain Model

Syed Eqbal Alam, Dhirendra Shukla

09:30-09:50

Byzantine-resilient Federated Low Rank Column-wise Compressive Sensing

Ankit Pratap Singh, Namrata Vaswani

08:30-08:50

Single-Shot Lossy Compression for Joint Inference and Reconstruction

Oguzhan Kubilay Ulger, Elza Erkip

08:50-09:10

Learning Source Coding for General Alphabets and Finite State Machines

Mohammad Zaeri Amirani, Anders Host-Madsen

09:10-09:30

A Curriculum Learning Approach to Optimization with Application to Downlink Beamforming

Jeremy Johnston, Xiaoyang Liu, Shixun Wu, Xiaodong Wang

09:30-09:50

Non-Linear Analog Coding for Image Transmission over Noisy Channels

Zhi Li, Riley Kilfoyle, Zixiang Xiong, Javier Garcia-Frias

10:30-12:10 Jitendra Malik, Plenary Speaker

10:30-12:10 Plenary - Spill Over

10:30-12:10 PLENARY - NO TALKS SCHEDULED

13:30-13:50

Understanding Self Distillation

Rudrajit Das, Sujay Sanghavi

13:50-14:10

Efficient decentralized multi-agent learning in asymmetric bipartite queueing systems

Thodoris Lykouris

14:10-14:30

Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements

E.-V. Vlatakis-Gkaragkounis, A. Giannou, Y. Chen, Q. Xie

14:30-14:50

Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control

Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak

14:50-15:10

Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games

Arnab Maiti, Kevin Jamieson, Lillian Ratliff

13:30-13:50

Clustering in transformers: an interacting particle systems perspective

Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy, Philippe Rigollet

13:50-14:10

Pulling Back from Infinity: Asymptotically Optimal Sampling of Infinite-Dimensional Measurements

Maxwell Varley, Timothy Molloy, Girish Nair

14:10-14:30

Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Markov Chains

Yilong Qin, Andrej Risteski

14:30-14:50

Super-linearization of Polynomial Systems

Xudong Chen

14:50-15:10

Benign overfitting, calibration, and the benefits of early stopping

Matus Telgarsky

13:30-13:50

Convergence of Heterogeneous Learning Dynamics in Zero-sum Stochastic Games

Yuksel Arslantas, Ege Yuceel, Yigit Yalin, Muhammed Sayin

13:50-14:10

A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement

Thinh Doan

14:10-14:30

Adaptive Identification from a Support Vector Perspective

Chi Ho Leung, William Ebenezer, Ashish Hota, Philip E. Paré

14:30-14:50

Active Ranking without Strong Stochastic Transitivity

Hao Lou, Tao Jin, Yue Wu, Pan Xu, Quanquan Gu, Farzad Farnoud

14:50-15:10

Characterizing optimal loss for adversarial classification versus multiple adversaries

Daniel Cullina

13:30-13:50

Conformal Prediction for STL Runtime Verification

Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas

13:50-14:10

Analysis of Neural Network Controllers Using Quadratic Constraints

Peter Seiler

14:10-14:30

Neural Network-based Fault Detection and Identification for Quadrotors using Dynamic Symmetry

Kunal Garg, Chuchu Fan

14:30-14:50

Interaction-aware interval reachability of neural network controlled systems

Saber Jafarpour, Akash Harapanahalli, Samuel Coogan

14:50-15:10

Verification and Design of Robust and Safe Neural Network-enabled Autonomous Systems

Q. Zhu, W. Li, C. Huang, X. Chen, W. Zhou, Y. Wang, J. Li, F. Fu

15:30-15:50

Distributed Storage Over a Public Channel: Trade-off between Privacy and Shared Key Lengths

Maryam Keshvari, Remi Chou

15:50-16:10

Coded Caching with Linear Coded Placement: Exact Tradeoff for the Three User Case

Yinbin Ma, Daniela Tuninetti

16:10-16:30

Multi-terminal Strong Coordination over Noiseless Networks with Secrecy Constraints

Viswanathan Ramachandran, Tobias J. Oechtering, Mikael Skoglund

16:30-16:50

Coded Kalman Filtering Over Gaussian Channels with Feedback

Barron Han, Oron Sabag, Victoria Kostina, Babak Hassibi

16:50-17:10

Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels

Xinyi Tong, Shao-Lun Huang

15:30-15:50

Why interpolating neural nets generalize well: recent insights from neural tangent model

Yiqiao Zhong, Andrea Montanari

15:50-16:10

A Law of Data Separation in Deep Learning

Weijie Su

16:10-16:30

Stochastic localization and algorithmic variants

Ahmed El Alaoui

16:30-16:50

Achieving Capacity on Non-Binary Channels with Generalized Reed–Muller Codes

Galen Reeves, Henry Pfister

16:50-17:10

Generative Plug and Play: Posterior Sampling for Inverse Problems

Charles Bouman, Gregery Buzzard

15:30-15:50

A Fast Algorithm for Low Rank + Sparse column-wise Compressive Sensing

Silpa Babu, Namrata Vaswani

15:50-16:10

A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed

Muralikrishnna Guruswamy Sethuraman, Hang Zhang, Faramarz Fekri

16:10-16:30

Theoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems

Mengyu Zhao, Shirin Jalali

16:30-16:50

Phase Transitions for Diversity in Stochastic Block Model Dynamics

Simina Brânzei, Nithish Kumar, Gireeja Ranade

16:50-17:10

Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering

Joonhyuk Yang, Hye Won Chung

15:30-15:50

Subspace Methods for Blind Fractionally-Spaced Equalization of Distributed Phase-Shift Beamforming

Ulysses Lee

15:50-16:10

Rotation-Invariant Correlation Features for 2D Sparse Unknown View Tomography

Shuai Huang, Deqiang Qiu

16:10-16:30

On Subsampled Quantile Randomized Kaczmarz

Jamie Haddock, Anna Ma, Elizaveta Rebrova

16:30-16:50

Strategic Quantization of a Noisy Source

Anju Anand, Emrah Akyol