Wednesday, January 26, 2022


8:45 a.m. - 9:00 a.m. Opening Remarks
Prof. Sertac Karaman
9:00 a.m. - 10:00 a.m. Plenary Talk
Prof. Yuejie Chi
Model-Free Reinforcement Learning: Non-asymptotic Statistical and Computational Guarantees
Slides
Video
10:00 a.m. - 10:15 a.m. Coffee Break
10:15 a.m. - 12:15 p.m. Student Session on Machine Learning and Statistics
Moise Blanchard
Universal Online Learning

Julia Briden
Switching State-Space Models for Thermospheric Density Estimation

Raaz Dwivedi
Distribution Compression in Near-Linear Time

Nicholas Johnson
Sparse and Low Rank Matrix Decomposition: A Discrete Optimization Approach

Sung Min (Sam) Park
Analyzing ML Pipeline with Datamodels

Austin Iglesias Saragih
Using Interpretable Machine Learning to Predict and Improve On-Time Delivery

Will Stephenson
Measuring the Sensitivity of Gaussian Processes to Kernel Choice

Yunzong Xu
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
12:15 p.m. - 2:00 p.m. Lunch
2:00 p.m. - 3:00 p.m. Plenary Talk
Prof. Adam Wierman
Online Optimization and Control using Black-Box Predictions
Slides
Video
3:00 p.m. - 3:15 p.m. Coffee Break
3:15 p.m. - 4:30 p.m. Student Session on Information and Networks
Zeyu Jia
Non-Parametric Threshold for Smoothed Empirical Wasserstein Distance

Nitya Mani
Minimum Feedback Arc Sets in Directed Graphs

Manon Revel
Representation in Binary Decision-Making

M. Taha Toghani
Communication-Efficient and Scalable Algorithms for Decentralized Consensus, Stochastic Optimization, Inference

Vishrant Tripathi
Online Learning for Indexable Restless Multi-Armed Bandits
4:30 p.m. - 5:30 p.m. Panel Discussion
Bridging the Gap Between Theory and the Real World

Thursday, January 27, 2022

9:00 a.m. - 10:00 a.m. Plenary Talk
Prof. Na Li
The Interplay between Learning and Control in Zeroth-order Methods
Video
10:00 a.m. - 10:15 a.m. Coffee Break
10:15 a.m. - 12:15 p.m. Student Session on Control and Game Theory
Abdullah Alomar
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators

Sarah Cen
Regulating Algorithmic Filtering on Social Media

Charles Dawson
Differentiable Robotics: Tools for Automated Design and Robustness Analysis

Peter Fisher
Linear Quadratic Control Using a High-Order Tuner

Rabab Haider
Advanced Decision Making Tools for Smart Distribution Grids

Runyu Zhang
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems

Zijie Zhou
Stratifying Online Field Experiments Using the Pigeonhole Design
12:15 p.m. - 2:00 p.m. Lunch
2:00 p.m. - 3:00 p.m. Plenary Talk
Prof. Angelia Nedich
Distributed Algorithms for Optimization in Networks
Slides
Video
3:00 p.m. - 3:15 p.m. Coffee Break
3:15 p.m. - 5:15 p.m. Student Session on Algorithms and Optimization
Vassilis Digalakis Jr
Slowly Varying Regression under Sparsity

Kevin Doherty
Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM

Andy Haupt
Cautious Bandits

Eren Can Kizildag
A Curious Case Of Symmetric Binary Perceptron Model: Algorithms And Barriers

Xiang Meng
A Branch-and-Bound Search Method for Optimal Regression Trees

Prem Talwai
A PAC-Bayesian Adaptation Scheme for Regularized Regression

Feng Zhu
Online Matching with Reusable Network Resources and Decaying Rewards: New Framework and Analysis
5:15 p.m. - 5:30 p.m. Awards and Concluding Remarks
Prof. Sertac Karaman