LIDS Student Conference 2022

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