ALLERTON 2023: 2023 ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, & COMPUTING
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
Wenqi Cui (University of Washington, United States)
Guanya Shi (Carnegie Mellon University, United States)
Yuanyuan Shi (University of California, San Diego, United States)
Baosen Zhang (University of Washington, United States)
Leveraging Predictions in Power System Frequency Control: an Adaptive Approach (abstract)
08:50
Lihui Yi (Northwestern University, United States)
Ermin Wei (Northwestern Univeristy, United States)
The Effect of Altruism in the Electricity Network (abstract)
09:10
Xavier Farrell (University of Michigan, United States)
Johanna Mathieu (University of Michigan, United States)
Quantifying Confidence in Electricity Rate Plan Recommendations Considering Variability in Future Electricity Usage (abstract)
09:30
Apostolos Rikos (KTH Royal Institute of Technology, Sweden)
Nicolas Manitara (University of Cyprus, Cyprus)
Gabriele Oliva (University Campus Bio-Medico of Rome, Italy)
Christoforos Hadjicostis (University of Cyprus, Cyprus)
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
Sen Lin (The Ohio State University, United States)
Peizhong Ju (The Ohio State University, United States)
Yingbin Liang (The Ohio State University, United States)
Ness Shroff (The Ohio State University, United States)
Theory on Forgetting and Generalization of Continual Learning (abstract)
08:50
Yue Wang (University at Buffalo, United States)
Alvaro Velasquez (Air Force Research Laboratory, United States)
George Atia (University of Central Florida, United States)
Ashley Prater-Bennette (Air Force Research Laboratory, United States)
Shaofeng Zou (University at Buffalo, the State University of New York, United States)
Robust Average-Reward Markov Decision Processes (abstract)
09:10
Abhin Shah (Massachusetts Institute of Technology, United States)
Maohao Shen (Massachusetts Institute of Technology, United States)
Jongha Jon Ryu (Massachusetts Institute of Technology, United States)
Subhro Das (MIT-IBM Watson AI Lab, IBM Research, United States)
Prasanna Sattigeri (MIT-IBM Watson AI Lab, IBM Research, United States)
Yuheng Bu (University of Florida, United States)
Gregory W. Wornell (Massachusetts Institute of Technology, United States)
Group Fairness with Uncertainty in Sensitive Attributes (abstract)
09:30
Banghua Zhu (University of California, Berkeley, United States)
Hiteshi Sharma (Microsoft Research, United States)
Felipe Frujeri (Microsoft Research, United States)
Shi Dong (Microsoft Research, United States)
Chenguang Zhu (Microsoft Research, United States)
Michael Jordan (University of California, Berkeley, United States)
Jiantao Jiao (University of California, Berkeley, United States)
Fine-Tuning Language Models with Advantage-Induced Policy Alignment (abstract)
09:50
Xiangxiang Xu (MIT, United States)
Ishank Agrawal (MIT, United States)
Lizhong Zheng (MIT, United States)
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
Yige Hong (Carnegie Mellon University, United States)
Qiaomin Xie (University of Wisconsin-Madison, United States)
Yudong Chen (University of Wisconsin-Madison, United States)
Weina Wang (Carnegie Mellon University, United States)
Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption (abstract)
08:50
Sai Sumedh Hindupur (Indian Institute of Technology Bombay, India)
Vivek Borkar (Indian Institute of Technology Bombay, India)
Online Parameter Estimation in Partially Observed Markov Decision Processes (abstract)
09:10
Michael Neely (University of Southern California, United States)
Adaptive optimization for stochastic renewal systems (abstract)
09:30
Xinghan Wang (University of California, San Diego, United States)
Nasimeh Heidaribeni (University of California, San Diego, United States)
Tara Javidi (University of California San Diego, United States)
A variational approach to federated and robust learning (abstract)
09:50
Caio Lauand (University of Florida, United States)
Ana Busic (Inria and ENS, France)
Sean Meyn (University of Florida, United States)
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
Xiangyu Liu (University of Maryland, College Park, United States)
Kaiqing Zhang (University of Maryland, College Park, United States)
Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing (abstract)
08:50
Cesar A. Uribe (Rice University, United States)
Push-sum, Kullback-Leibler Barycenters, and Colored Flows (abstract)
09:10
Behrouz Touri (University of California San Diego, United States)
Hadi Reisizadeh (University of Minnesota, United States)
Soheil Mohajer (University of Minnesota, United States)
Distributed Optimization with Imperfect Information Sharing (abstract)
09:30
Shubhada Agrawal (Georgia Institute of Technology, United States)
Martin Zubeldia (University of Minnesotta, United States)
Siva Theja Maguluri (Georgia Institute of Technology, United States)
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
Haoyun Wang (Georgia Institute of Technology, United States)
Yao Xie (Georgia Insitute of Technology, United States)
Non-parametric distribution-free CUSUM for online change-point detection (abstract)
10:50
Taposh Banerjee (University of Pittsburgh, United States)
Vahid Tarokh (Duke University, United States)
Score-Based Bayesian Quickest Change Detection (abstract)
11:10
Mehmet Kurt (Columbia University, United States)
Xiaodong Wang (Columbia University, United States)
Pieter J. Mosterman (MathWorks, United States)
Yasin Yilmaz (University of South Florida, United States)
Data-Driven Sequential Change Detection in Privacy-Sensitive Networks (abstract)
11:30
Shuchen Cao (University of Nebraska-Lincoln, United States)
Ruizhi Zhang (University of Georgia, United States)
An Adaptive Approach for Online Monitoring of Large Scale Data Streams (abstract)
11:50
Xiaoou Li (University of Minnesota, United States)
Hongru Zhao (University of Minnesota, United States)
Globally-optimal Greedy Experiment Selection For Active Sequential Estimation (abstract)
12:10
Liyan Xie (The Chinese University of Hong Kong, Shenzhen, China)
Jie Gao (The Chinese University of Hong Kong, Shenzhen, China)
Zhaoyuan Li (The Chinese University of Hong Kong, Shenzhen, China)
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
Dominic Gross (University of Wisconsin-Madison, United States)
Xue Lyu (Pacific Northwest National Laboratory, United States)
Towards constrained grid-forming control (abstract)
10:50
Bernard Lesieutre (University of Wisconsin-Madison, United States)
Bhumesh Kumar (University of Wisconsin-Madison, United States)
Participation Factor Analysis of Nonlinear Systems: Beyond Equilibria (abstract)
11:10
Steven Low (Caltech, United States)
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
Xingyu Xu (Carnegie Mellon University, United States)
Yandi Shen (University of Chicago, United States)
Yuejie Chi (Carnegie Mellon University, United States)
Cong Ma (University of Chicago, United States)
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing (abstract)
10:50
Joshua Cutler (University of Washington, United States)
Mateo Diaz (Johns Hopkins University, United States)
Dmitriy Drusvyatskiy (University of Washington, United States)
Stochastic approximation with decision-dependent distributions: asymptotic normality and optimality (abstract)
11:10
Jianhao Ma (University of Michigan, United States)
Salar Fattahi (University of Michigan, United States)
Blessing of Nonconvexity in Factorized Models (abstract)
11:30
Jose Gallego-Posada (Mila, University of Montreal; Meta Platforms, Inc., Canada)
Hao-Jun Michael Shi (Meta Platforms, Inc., United States)
Michael Rabbat (Meta Platforms, Inc., Canada)
Explorations on scalable preconditioned gradient methods for deep learning (abstract)
11:50
Ahmed Khaled (Princeton University, United States)
Konstantin Mishchenko (Samsung AI Center, UK)
Chi Jin (Princeton University, United States)
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method (abstract)
12:10
David Rosen (Northeastern University, United States)
Practical Algorithms for Globally Optimal Geometric Machine Perception (abstract)
10:30-12:30 Session WeB4: Quantum Computing
Location: Pine
10:30
Sayantan Chakraborty (Centre for Quantum Technologies, National University of Singapore, Singapore)
Rahul Jain (Centre for Quantum Technologies, National University of Singapore, Singapore)
Pranab Sen (Tata Institute of Fundamental Research, Mumbai, India)
One-Shot Non-Catalytic Distributed Purity Distillation (abstract)
10:50
Yu-Chen Shen (National Taiwan University, Taiwan)
Li Gao (University of Houston, United States)
Hao-Chung Cheng (National Taiwan University, Taiwan)
Privacy Amplification Against Quantum Side Information Via Regular Random Binning (abstract)
11:10
Michael Graifer (Tel Aviv University, Israel)
Yuval Kochman (HUJI, Israel)
Ofer Shayevitz (Tel Aviv University, Israel)
Quantum Key Distribution with State Replacement (abstract)
PRESENTER: Michael Graifer
11:30
James I. Lathrop (Iowa State University, United States)
Peter-Michael Osera (Grinnell College, United States)
Addison W. Schmidt (Iowa State University, United States)
Jesse C. Slater (Iowa State University, United States)
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
Gerald Ogbanna (Systems Engineering, Cornell University, United States)
Lindsay Anderson (Cornell University, United States)
Aggregating Power Networks for Decentralized Control: A Spectral Clustering Approach (abstract)
13:50
Ahmed Alahmed (Cornell University, United States)
Guido Cavraro (National Renewable Energy Laboratory, United States)
Andrey Bernstein (National Renewable Energy Laboratory, United States)
Lang Tong (Cornell University, United States)
Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities (abstract)
PRESENTER: Lang Tong
14:10
Fernando Paganini (Universidad ORT Uruguay, Uruguay)
Andres Ferragut (Universidad ORT Uruguay, Uruguay)
Dynamic Load Balancing of Selfish Drivers between Spatially Distributed Electrical Vehicle Charging Stations (abstract)
14:30
Young-ho Cho (The University of Texas at Austin, United States)
Hao Zhu (University of Texas at Austin, United States)
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
Julia Gaudio (Northwestern University, United States)
Miklos Racz (Northwestern University, United States)
Colin Sandon (MIT, United States)
Jiaming Xu (Duke University, United States)
Dana Yang (Cornell University, United States)
"All-Something-Nothing" Phase Transitions in Planted Subgraph Recovery (abstract)
13:50
Akshay Mete (Texas A&M University, United States)
Rahul Singh (Indian Institute of Science, Bengaluru, India, India)
P. R. Kumar (Texas A&M University, United States)
The Reward Biased Method: An Optimism based Approach for Reinforcement Learning (abstract)
PRESENTER: P. R. Kumar
14:10
Advait Parulekar (The University of Texas at Austin, United States)
Liam Collins (The University of Texas at Austin, United States)
Karthikeyan Shanmugam (Google, India)
Aryan Mokhtari (University of Texas at Austin, United States)
Sanjay Shakkottai (The University of Texas at Austin, United States)
On representation learning with the InfoNCE loss (abstract)
14:30
Qining Zhang (University of Michigan - Ann Arbor, United States)
Lei Ying (The University of Michigan, Ann Arbor, United States)
Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms (abstract)
14:50
Daniel Freund (MIT, United States)
Thodoris Lykouris (MIT, United States)
Wentao Weng (MIT, United States)
Quantifying the Cost of Learning in Queueing Systems (abstract)
15:10
Anton Xue (University of Pennsylvania, United States)
Rajeev Alur (University of Pennsylvania, United States)
Eric Wong (University of Pennsylvania, United States)
Stability Guarantees for Feature Attributions with Multiplicative Smoothing (abstract)
13:30-15:10 Session WeC3: Information Theory and Coding
Location: Butternut
13:30
Yuming Han (Dept of Electrical and Computer Engineering, Texas A&M University, United States)
Zixiang Xiong (Dept of Electrical and Computer Engineering, Texas A&M University, United States)
Anders Host-Madsen (Dept of Electrical Engineering, University of Hawaii at Manoa, United States)
On Energy-Delay Tradeoff in Uncoordinated MAC (abstract)
13:50
Sina Eghbal (University of Cincinnati, United States)
Badri N. Vellambi (University of Cincinnati, United States)
Lawrence Ong (University of New Castle, Australia)
Parastoo Sadeghi (University of New South Wales (Canberra), Australia)
An Improved Greedy Cover Algorithm for Pliable Index Coding (abstract)
14:10
Eric Ruzomberka (Princeton University, United States)
Homa Nikbakht (Princeton University, United States)
Christopher Brinton (Purdue University, United States)
David Love (Purdue University, United States)
H. Vincent Poor (Princeton University, United States)
Derandomizing Codes for the Binary Adversarial Wiretap Channel of Type II (abstract)
14:30
Tharindu Adikari (University of Toronto, Canada)
Haider Al-Lawati (University of Toronto, Canada)
Jason Lam (Huawei Technologies Canada, Canada)
Zhenhua Hu (Huawei Technologies Canada, Canada)
Stark Draper (University of Toronto, Canada)
Straggler Exploitation in Distributed Computing Systems with Task Grouping (abstract)
14:50
Vinayak Ramkumar (Tel Aviv University, Israel)
Netanel Raviv (Washington University in St. Louis, United States)
Itzhak Tamo (Tel Aviv University, Israel)
Coefficient Complexity in Low-Access Quantized Linear Computations (abstract)
13:30-15:10 Session WeC4: Learning and Inference I
Location: Pine
13:30
Chedi Morchdi (University of Utah, United States)
Yi Zhou (University of Utah, United States)
Jie Ding (University of Minnesota, United States)
Bei Wang (University of Utah, United States)
Exploring Gradient Oscillation in Deep Neural Network Training (abstract)
13:50
Xinyi Tong (Tsinghua University, China)
Xiangxiang Xu (MIT, United States)
Shao-Lun Huang (Tsinghua Shenzhen International Graduate School, China)
Lizhong Zheng (MIT, United States)
Robust Transfer Learning Based on Minimax Principle (abstract)
PRESENTER: Xinyi Tong
14:10
Seonho Kim (The Ohio State University, United States)
Kiryung Lee (The Ohio State University, United States)
Fast max-affine regression via stochastic gradient descent (abstract)
14:30
Ege Can Kaya (Purdue University, United States)
Abolfazl Hashemi (Purdue University, United States)
Relative Entropy Regularization for Robust Submodular Multi-Task Subset Selection (abstract)
14:50
Rachel Newton (University of Michigan, United States)
Zhe Du (University of Michigan, United States)
Laura Balzano (University of Michigan, United States)
Peter Seiler (University of Michigan, United States)
Manifold Optimization for Data Driven Reduced-Order Modeling (abstract)
PRESENTER: Rachel Newton
15:30-17:30 Session WeD1: Learning Theory
Location: Library
15:30
Enoch Hyunwook Kang (University of Washington, United States)
P. R. Kumar (Texas A&M University, United States)
Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle (abstract)
15:50
Xing Gao (University of Illinois at Chicago, United States)
Thomas Maranzatto (University of Illinois at Chicago, United States)
Lev Reyzin (University of Illinois at Chicago, United States)
A Unified Analysis of Dynamic Interactive Learning (abstract)
16:10
Zahra Esmaeilbeig (University of Illinois at Chicago, United States)
Mojtaba Soltanalian (University of Illinois at Chicago, United States)
Deep Learning Meets Adaptive Filtering: A Stein's Unbiased Risk Estimator Approach (abstract)
16:30
Somtochukwu Oguchienti (Ph.D. Student, Electrical and Computer Engineering, Purdue University, United States)
Mahsa Ghasemi (Assistant Professor, Electrical and Computer Engineering, Purdue University, United States)
Inverse Reinforcement Learning with Learning and Leveraging Demonstrators' Varying Expertise Levels (abstract)
16:50
Xiangxiang Xu (Massachusetts Institute of Technology, United States)
Lizhong Zheng (Massachusetts Institute of Technology, United States)
Sequential Dependence Decomposition and Feature Learning (abstract)
PRESENTER: Xiangxiang Xu
15:30-17:30 Session WeD2: Learning and Inference II
Location: Solarium
15:30
Mohammadhossein Abedinzadeh (Department of Electrical and Computer Engineering, Binghamton University–SUNY, Binghamton, NY 13902 USA, United States)
Emrah Akyol (Department of Electrical and Computer Engineering, Binghamton University–SUNY, Binghamton, NY 13902 USA, United States)
A Multidimensional Opinion Evolution Model with Confirmation Bias (abstract)
15:50
Abhin Shah (MIT, United States)
Raaz Dwivedi (MIT, United States)
Devavrat Shah (MIT, United States)
Gregory Wornell (MIT, United States)
On counterfactual inference with unobserved confounding (abstract)
16:10
Chelsea Huynh (University of California, Irvine (UCI) - Department of Mathematics, United States)
Anna Ma (University of California, Irvine (UCI) - Department of Mathematics, United States)
Michael Strand (University of California, Irvine (UCI) - Department of Statistics, United States)
Block-missing data in linear systems: An unbiased stochastic gradient descent approach (abstract)
PRESENTER: Michael Strand
16:30
Meiyu Zhong (University of Arizona, United States)
Ravi Tandon (University of Arizona, United States)
Learning Fair Classifiers via Min-Max F-divergence Regularization (abstract)
16:50
Alon Kipnis (Reichman University, Israel)
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
Lu Le Phuc (Ho Chi Minh University of Science, Viet Nam)
Hoang Dau Son (The School of Computing Technologies, RMIT University, Australia)
Hy Ngo Dinh (Ho Chi Minh University of Science, Viet Nam)
Thuc Nguyen Dinh (Ho Chi Minh University of Science, Viet Nam)
New results on Erasure Combinatorial Batch Codes (abstract)
PRESENTER: Lu Le Phuc
15:50
Anindya Bijoy Das (Purdue University, United States)
Aditya Ramamoorthy (Iowa State University, United States)
David J. Love (Purdue University, United States)
Christopher G. Brinton (Purdue University, United States)
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations (abstract)
16:10
Emna Ben Yacoub (Technical University of Munich, Germany)
Trapping and Absorbing Set Enumerators for Multi-Edge Type LDPC Code Ensembles (abstract)
16:30
Mohammad Reza Deylam Salehi (Eurecom, Sorbonne Université, France)
Derya Malak (Eurecom, France)
An Achievable Low Complexity Encoding Scheme for Coloring Cyclic Graphs (abstract)
PRESENTER: Derya Malak
16:50
Giuseppe Cotardo (Virginia Tech, United States)
Gretchen Matthews (Virginia Tech, United States)
Alberto Ravagnani (Eindhoven University of Technology, Netherlands)
Julia Shapiro (Virginia Tech, United States)
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
Yichen Ruan (Carnegie Mellon University, United States)
Carlee Joe-Wong (Carnegie Mellon University, United States)
Fedsoft: Soft clustered federated learning with proximal local updating (abstract)
15:50
Jiadong Liang (Peking University, China)
Yuze Han (Peking University, China)
Xiang Li (Peking University, China)
Zhihua Zhang (Peking University, China)
Complete Asymptotic Analysis for Projected Stochastic Approximation and Debiased Variants (abstract)
PRESENTER: Xiang Li
16:10
Ningning Ding (Northwestern University, United States)
Zhenyu Sun (Northwestern Univeristy, United States)
Ermin Wei (Northwestern Univeristy, United States)
Randall Berry (Northwestern University, United States)
Incentive Mechanism Design for Federated Learning and Unlearning (abstract)
16:30
Sravani Ramishetty (Purdue University, United States)
Abolfazl Hashemi (Purdue University, United States)
High Probability Guarantees For Federated Learning. (abstract)
16:50
Lili Su (Northeastern University, United States)
Jiaming Xu (Duke University, United States)
Pengkun Yang (Tsinghua University, China)
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
Dileep Kalathil (TAMU, United States)
Natural Actor-Critic for Robust Reinforcement Learning (abstract)
08:50
Richard Combes (Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes, France, France)
Raymond Zhang (Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes, France, France)
Curse of Dimension of Thompson Sampling for Combinatorial Bandits (abstract)
09:10
Jerome Taupin (Ecole Normale Superieure, France)
Yassir Jedra (KTH Royal Institute of Technology, Sweden)
Alexandre Proutiere (KTH Royal Institute of Technology, Sweden)
Best Policy Identification in Linear MDPs (abstract)
09:30
Matthew Faw (UT Austin, United States)
Litu Rout (UT Austin, United States)
Constantine Caramanis (The University of Texas at Austin, United States)
Sanjay Shakkottai (UT Austin, United States)
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD (abstract)
09:50
Arunabh Srivastava (University of Maryland, United States)
Sennur Ulukus (University of Maryland, United States)
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
Eitan Levin (Caltech, United States)
Venkat Chandrasekaran (Caltech, United States)
Any-dimensional convex sets (abstract)
08:50
Qing Qu (University of Michigan, United States)
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks (abstract)
09:10
Christian Kümmerle (University of North Carolina at Charlotte, United States)
Dominik Stöger (KU Eichstätt-Ingolstadt, Germany)
Weights Matter: Linear & Superlinear Convergence Rates for IRLS in Low-Rank Optimization (abstract)
09:30
Marie Maros (Purdue University, United States)
Gesualdo Scutari (Purdue University, United States)
A Unified View of Decentralized Algorithms for Sparse Linear Regression (abstract)
09:50
Amin Karbasi (Yale & Google, United States)
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization (abstract)
08:30-10:10 Session ThA3: Federated learning
Location: Butternut
08:30
Benedito Fonseca Jr (Northern Illinois University, United States)
Fairness in Distributed Sensor Systems to Detect Emitters (abstract)
08:50
Ahmed Ali Abbasi (Iowa State University, United States)
Shana Moothedath (Iowa State University, United States)
Namrata Vaswani (Iowa State University, United States)
AltGDMin for Fast Federated Low Rank Matrix Completion (abstract)
09:10
Syed Eqbal Alam (Department of Electrical & Computer Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada, Canada)
Dhirendra Shukla (Department of Electrical & Computer Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada, Canada)
Communication-efficient Federated Multi-resource Allocation: A Non-homogeneous Markov Chain Model (abstract)
PRESENTER: Syed Eqbal Alam
09:30
Ankit Pratap Singh (Iowa State University, United States)
Namrata Vaswani (Iowa State University, United States)
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
Oguzhan Kubilay Ulger (New York University, United States)
Elza Erkip (New York University, United States)
Single-Shot Lossy Compression for Joint Inference and Reconstruction (abstract)
08:50
Mohammad Zaeri Amirani (University of Hawaii, United States)
Anders Host-Madsen (University of Hawaii, United States)
Learning Source Coding for General Alphabets and Finite State Machines (abstract)
09:10
Jeremy Johnston (Columbia University, United States)
Xiaoyang Liu (Columbia University, United States)
Shixun Wu (University of California, Riverside, United States)
Xiaodong Wang (Columbia University, United States)
A Curriculum Learning Approach to Optimization with Application to Downlink Beamforming (abstract)
09:30
Zhi Li (Dept of Electrical and Computer Engineering, University of Delaware, United States)
Riley Kilfoyle (Dept of Electrical and Computer Engineering, Texas A&M University, United States)
Zixiang Xiong (Dept of Electrical and Computer Engineering, Texas A&M University, United States)
Javier Garcia-Frias (Dept of Electrical and Computer Engineering, University of Delaware, United States)
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
Rudrajit Das (UT Austin, United States)
Sujay Sanghavi (The University of Texas at Austin, United States)
Understanding Self Distillation (abstract)
13:50
Thodoris Lykouris (Massachusetts Institute of Technology, United States)
Efficient decentralized multi-agent learning in asymmetric bipartite queueing systems (abstract)
14:10
Emmanouil-Vasileios Vlatakis-Gkaragkounis (University of California, Berkeley, United States)
Angeliki Giannou (University of Wisconsin-Madison, United States)
Yudong Chen (University of Wisconsin-Madison, United States)
Qiaomin Xie (University of Wisconsin-Madison, United States)
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements (abstract)
14:30
Harit Vishwakarma (University of Wisconsin-Madison, United States)
Heguang Lin (University of Wisconsin-Madison, United States)
Ramya Korlakai Vinayak (University of Wisconsin-Madison, United States)
Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control (abstract)
14:50
Arnab Maiti (University of Washington, United States)
Kevin Jamieson (University of Washington, United States)
Lillian Ratliff (University of Washington, United States)
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
Borjan Geshkovski (MIT, United States)
Cyril Letrouit (CNRS, Laboratoire de Mathématiques d'Orsay, France)
Yury Polyanskiy (MIT, United States)
Philippe Rigollet (MIT, United States)
Clustering in transformers: an interacting particle systems perspective (abstract)
13:50
Maxwell Varley (Uni Melbourne, Australia)
Timothy Molloy (Australian National University, Australia)
Girish Nair (The University of Melbourne, Australia)
Pulling Back from Infinity: Asymptotically Optimal Sampling of Infinite-Dimensional Measurements (abstract)
14:10
Yilong Qin (Carnegie Melln University, United States)
Andrej Risteski (Carnegie Mellon University, United States)
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Markov Chains (abstract)
14:30
Xudong Chen (Washington University in St. Louis, United States)
Super-linearization of Polynomial Systems (abstract)
14:50
Matus Telgarsky (New York University, United States)
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
Yuksel Arslantas (Bilkent University, Turkey)
Ege Yuceel (Bilkent University, Turkey)
Yigit Yalin (Bilkent University, Turkey)
Muhammed Sayin (Bilkent University, Turkey)
Convergence of Heterogeneous Learning Dynamics in Zero-sum Stochastic Games (abstract)
PRESENTER: Muhammed Sayin
13:50
Thinh Doan (Virginia Tech, United States)
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning (abstract)
14:10
Chi Ho Leung (Purdue, United States)
William Ebenezer (IIT Kharagpur, India)
Ashish Hota (IIT Kharagpur, India)
Philip E. Paré (Purdue University, United States)
Adaptive Identification from a Support Vector Perspective (abstract)
14:30
Hao Lou (University of Virginia, United States)
Tao Jin (University of Virginia, United States)
Yue Wu (UCLA, United States)
Pan Xu (Duke, United States)
Quanquan Gu (UCLA, United States)
Farzad Farnoud (University of Virginia, United States)
Active Ranking without Strong Stochastic Transitivity (abstract)
14:50
Daniel Cullina (Penn State, United States)
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
Lars Lindemann (University of Southern California, United States)
Xin Qin (University of Southern California, United States)
Jyotirmoy V. Deshmukh (University of Southern California, United States)
George J. Pappas (University of Pennsylvania, United States)
Conformal Prediction for STL Runtime Verification (abstract)
13:50
Peter Seiler (University of Michigan, United States)
Analysis of Neural Network Controllers Using Quadratic Constraints (abstract)
14:10
Kunal Garg (Massachusetts Institute of Technology, United States)
Chuchu Fan (Massachusetts Institute of Technology, United States)
Neural Network-based Fault Detection and Identification for Quadrotors using Dynamic Symmetry (abstract)
PRESENTER: Kunal Garg
14:30
Saber Jafarpour (Georgia Institute of Technology, United States)
Akash Harapanahalli (Georgia Institute of Technology, United States)
Samuel Coogan (Georgia Institute of Technology, United States)
Interaction-aware interval reachability of neural network controlled systems (abstract)
14:50
Qi Zhu (Northwestern University, United States)
Wenchao Li (Boston University, United States)
Chao Huang (University of Liverpool, UK)
Xin Chen (University of New Mexico, United States)
Weichao Zhou (Boston University, United States)
Yixuan Wang (Northwestern University, United States)
Jiajun Li (University of Liverpool, UK)
Feisi Fu (Boston University, United States)
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
Maryam Keshvari (Wichita State University, United States)
Remi Chou (Wichita State University, United States)
Distributed Storage Over a Public Channel: Trade-off between Privacy and Shared Key Lengths (abstract)
15:50
Yinbin Ma (University of Illinois Chicago, United States)
Daniela Tuninetti (University of Illinois Chicago, United States)
Coded Caching with Linear Coded Placement: Exact Tradeoff for the Three User Case (abstract)
PRESENTER: Yinbin Ma
16:10
Viswanathan Ramachandran (KTH Royal Institute of Technology, Sweden)
Tobias J. Oechtering (KTH Royal Institute of Technology, Sweden)
Mikael Skoglund (KTH Royal Institute of Technology, Sweden)
Multi-terminal Strong Coordination over Noiseless Networks with Secrecy Constraints (abstract)
16:30
Barron Han (Caltech, United States)
Oron Sabag (The Hebrew University of Jerusalem, Israel)
Victoria Kostina (Caltech, United States)
Babak Hassibi (Caltech, United States)
Coded Kalman Filtering Over Gaussian Channels with Feedback (abstract)
PRESENTER: Barron Han
16:50
Xinyi Tong (Tsinghua University, China)
Shao-Lun Huang (Tsinghua Shenzhen International Graduate School, China)
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
Yiqiao Zhong (University of Wisconsin--Madison, United States)
Andrea Montanari (Stanford University, United States)
Why interpolating neural nets generalize well: recent insights from neural tangent model (abstract)
15:50
Weijie Su (University of Pennsylvania, United States)
A Law of Data Separation in Deep Learning (abstract)
16:10
Ahmed El Alaoui (Cornell University, United States)
Stochastic localization and algorithmic variants (abstract)
16:30
Galen Reeves (Duke University, United States)
Henry Pfister (Duke University, United States)
Achieving Capacity on Non-Binary Channels with Generalized Reed–Muller Codes (abstract)
PRESENTER: Henry Pfister
16:50
Charles Bouman (Purdue University, United States)
Gregery Buzzard (Purdue University, United States)
Generative Plug and Play: Posterior Sampling for Inverse Problems (abstract)
15:30-17:30 Session ThD3: Compressed Sensing and Blockmodels
Location: Butternut
15:30
Silpa Babu (Iowa State University, United States)
Namrata Vaswani (Iowa State University, United States)
A Fast Algorithm for Low Rank + Sparse column-wise Compressive Sensing (abstract)
15:50
Muralikrishnna Guruswamy Sethuraman (Georgia Institute of Technology, United States)
Hang Zhang (Amazon, United States)
Faramarz Fekri (Georgia Institute of Technology, United States)
A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements (abstract)
16:10
Mengyu Zhao (Rutgers University, United States)
Shirin Jalali (Rutgers University, United States)
Theoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems (abstract)
PRESENTER: Mengyu Zhao
16:30
Simina Brânzei (Purdue University, United States)
Nithish Kumar (Purdue University, United States)
Gireeja Ranade (UC Berkeley, United States)
Phase Transitions for Diversity in Stochastic Block Model Dynamics (abstract)
16:50
Joonhyuk Yang (KAIST(Korea Advanced Institute of Science and Technology), South Korea)
Hye Won Chung (KAIST(Korea Advanced Institute of Science and Technology), South Korea)
Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering (abstract)
15:30-16:30 Session ThD4: Stochastic Systems
Location: Pine
15:30
Ulysses Lee (UCSD, United States)
Subspace Methods for Blind Fractionally-Spaced Equalization of Distributed Phase-Shift Beamforming Signals (abstract)
15:50
Shuai Huang (Emory University, United States)
Deqiang Qiu (Emory University, United States)
Rotation-Invariant Correlation Features for 2D Sparse Unknown View Tomography (abstract)
16:10
Jamie Haddock (Harvey Mudd College, United States)
Anna Ma (University of California, Irvine, United States)
Elizaveta Rebrova (Princeton University, United States)
On Subsampled Quantile Randomized Kaczmarz (abstract)
PRESENTER: Jamie Haddock
16:30
Anju Anand (Binghamton University, United States)
Emrah Akyol (Binghamton University, United States)
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
Harry Jiang (Carnegie Mellon University, United States)
Xiaoxi Zhang (Sun Yat-Sen University, United States)
Carlee Joe-Wong (Carnegie Mellon University, United States)
DOLL: Distributed OnLine Learning Using Preemptible Instances (abstract)
08:50
Siddhartha Banerjee (Cornell University, United States)
Matthew Eichhorn (Cornell University, United States)
David Kempe (University of Southern California, United States)
Priorities and Quotas in Online Matching (abstract)
09:10
Feras Al Taha (Cornell University, United States)
Kiran Rokade (Cornell University, United States)
Francesca Parise (Cornell University, United States)
Learning in Network Games with Dynamic Populations (abstract)
09:30
Ozan Candogan (University of Chicago, Booth School of Business, United States)
Manxi Wu (Cornell University, Operations Research and Information Engineering, United States)
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
Kaustav Chakraborty (University of Southern California, United States)
Discovering and Learning from Closed-Loop Failures of Vision-based Controllers. (abstract)
08:50
Mahyar Fazlyab (Johns Hopkins University, United States)
Taha Entesari (Johns Hopkins University, United States)
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization (abstract)
09:10
Sicun Gao (University of California San Diego, United States)
Towards Rigorous Use of Neural Networks in Nonlinear Control (abstract)
09:30
Nicholas Rober (Massachusetts Institute of Technology, United States)
Sydney Katz (Stanford University, United States)
Chelsea Sidrane (Stanford University, United States)
Esen Yel (Stanford University, United States)
Michael Everett (Northeastern University, United States)
Mykel Kochenderfer (Stanford University, United States)
Jonathan How (Massachusetts Institute of Technology, United States)
Backward Reachability Analysis for Safety Verification of Neural Feedback Loops (abstract)
09:50
Miroslav Pajic (Duke University, United States)
Vulnerability Analysis of Perception-Based Control: Modeling and Fundamental Limits (abstract)
08:30-10:10 Session FrA3: Game Theory
Location: Butternut
08:30
Pawan Poojary (Northwestern University, United States)
Randall Berry (Northwestern University, United States)
Bayesian Observational Learning in Mean-Field Games with Imperfect Observations (abstract)
08:50
Keith Paarporn (University of Colorado, Colorado Springs, United States)
Non-myopic agents can stabilize cooperation in feedback-evolving games (abstract)
09:10
Tao Zhang (New York University, United States)
Quanyan Zhu (New York University, United States)
Stochastic Game with Interactive Information Acquisition: A Fixed-Point Alignment Principle (abstract)
09:30
Sina Arefizadeh (Arizona State University, United States)
Angelia Nedich (Arizona State University, United States)
Characterization of Potential Games: Application in Aggregative Games (abstract)
09:50
Raman Ebrahimi (UC San Diego, United States)
Parinaz Naghizadeh (UC San Diego, United States)
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
Wael Alghamdi (Harvard University, United States)
Shahab Asoodeh (McMaster University, Canada)
Flavio Calmon (Harvard University, United States)
Juan Felipe Gomez (Harvard University, United States)
Oliver Kosut (Arizona State University, United States)
Lalitha Sankar (Arizona State University, United States)
The Saddle-Point Method in Differential Privacy (abstract)
08:50
Daria Reshetova (Stanford University, United States)
Wei-Ning Chen (Stanford University, United States)
Ayfer Ozgur (Stanford University, United States)
Training generative models from privatized data (abstract)
09:10
Patrik Gerber (MIT, United States)
Yury Polyanskiy (MIT, United States)
Likelihood-free hypothesis testing (abstract)
09:30
Cynthia Rush (Columbia University, United States)
Ruchira Ray (Columbia University, United States)
Marco Avella (Columbia university, United States)
Asymptotics for alpha-posteriors with applications to variational inference (abstract)
09:50
Syed Eqbal Alam (Department of Electrical & Computer Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada, Canada)
Dhirendra Shukla (Department of Electrical & Computer Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada, Canada)
Shrisha Rao (International Institute of Information Technology, Bangalore, Karnataka, India, India)
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
Franziska Weindel (TUM, Germany)
Andreas Gimpel (ETH, Switzerland)
Robert N. Grass (ETH, Switzerland)
Reinhard Heckel (TUM, Germany)
Embracing errors is more effective than avoiding them through constrained coding for DNA data storage (abstract)
10:50
Netanel Raviv (Washington University in St. Louis, United States)
Canran Wang (Washington University in St. Louis, United States)
Jin Sima (University of Illinois at Urbana Champaign, United States)
Vinh Pham (Washington University in St. Louis, United States)
Mi Zhou (Washington University in St. Louis, United States)
Coding for forensic 3D fingerprinting (abstract)
11:10
Han Mao Kiah (Nanyang Technological University, Singapore)
The Bee Identification Problem and DNA-Based Data Storage (abstract)
11:30
Ryan Gabrys (UCSD, United States)
Cover Your Bases: How to Minimize the Sequencing Coverage in DNA Storage Systems (abstract)
11:50
Kuan Cheng (Peking University, China)
Elena Grigorescu (Purdue University, United States)
Xin Li (University of Washington, United States)
Madhu Sudan (Microsoft, United States)
Minshen Zhu (Purdue University, United States)
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
Marcos Muller Vasconcelos (Florida State University, United States)
Behrouz Touri (University of California San Diego, United States)
Fundamental Limits of Strategic Coordination (abstract)
10:50
Ali Kara (University of Michigan, United States)
Serdar Yuksel (Queen's University, Canada)
Reinforcement Learning for Stochastic Control under Weak Feller Continuous Models and General Information Structures (abstract)
11:10
Bryce Ferguson (UCSB, United States)
Dario Paccagnan (Imperial College London, UK)
Bary Pradelski (National Center for Scientific Research (CNRS), France)
Jason Marden (UCSB, United States)
Communication Enabled Collaborations in Multi-Agent Systems (abstract)
10:30-12:50 Session FrB3: Control Theory
Location: Butternut
10:30
Ivan Perez Avellaneda (University of Vermont, United States)
Luis Duffaut Espinosa (University of Vermont, United States)
Backward and Inner Approximation of Output Reachable sets via Chen-Fliess Series (abstract)
10:50
Yunshen Huang (Washington University in St. Louis, United States)
Wenbo He (Washington University in St. Louis, United States)
Shen Zeng (Washington University in St. Louis, United States)
A Differential Dynamic Programming-based Approach for Balancing Energy and Time Optimality in Motion Planning (abstract)
PRESENTER: Yunshen Huang
11:10
W. Steven Gray (Old Dominion University, United States)
Erik I. Verriest (Georgia Institute of Technology, United States)
Linear Operator Differential Equations with Applications to Linear Time-Varying Systems (abstract)
11:30
Pouya Samanipour (University of Kentucky, United States)
Hasan Poonawala (University of Kentucky, United States)
Automated Stability Analysis of Piecewise Affine Dynamics Using Vertices (abstract)
PRESENTER: Pouya Samanipour
11:50
Joudi Hajar (Caltech, United States)
Taylan Kargin (Caltech, United States)
Babak Hassibi (Caltech, United States)
Wasserstein Distributionally Robust Regret-Optimal Control under Partial Observability (abstract)
12:10
Faraz Farahvash (Cornell University, United States)
Ao Tang (Cornell University, United States)
Stochastic Control under Correlated Disturbances (abstract)
10:30-12:50 Session FrB4: Queuing, Scheduling, and Resource Allocation
Location: Pine
10:30
Yiming Zhang (Northwestern University, United States)
Dongning Guo (Northwestern University, United States)
Distributed MARL for Scheduling in Conflict Graphs (abstract)
10:50
Faraz Farahvash (Cornell University, United States)
Ao Tang (Cornell University, United States)
Delay Performance Optimization with Packet Drop (abstract)
11:10
Chih-Yuan Chiu (University of California, Berkeley, United States)
Chinmay Maheshwari (University of California, Berkeley, United States)
Pan-Yang Su (University of California, Berkeley, United States)
Shankar Sastry (University of California, Berkeley, United States)
Dynamic Tolling in Arc-based Traffic Assignment Models (abstract)
11:30
Amin Shojaeighadikolaei (PhD Student at University of Kansas, United States)
Morteza Hashemi (Faculty, Assistant professor at EECS department, United States)
An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control (abstract)