Thursday, February 2, 2023 (Room 32-155)
8:30 a.m. - 9:00 a.m. | Breakfast and Registration |
9:00 a.m. - 9:15 a.m. |
Opening Remarks
Prof. Sertac Karaman
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9:15 a.m. - 10:15 a.m. |
Plenary Talk
Prof. Rad Niazadeh
From Offline Greedy Algorithms to Online Learning: Theory and Applications |
10:15 a.m. - 10:30 a.m. | Coffee Break |
10:30 a.m. - 12:30 p.m. |
Student Session on Algorithms and Optimization
Kwangjun Ahn
Learning threshold neurons via the “edge of stability” Feng Zhu Stochastic Bandit Policies with Safety against Heavy-tailed Risk Sarah Cen Network Synthetic Interventions: A Causal Framework for Panel Data with Network Interference Renato Berlinghieri Gaussian processes at the Helm(holtz): A better way to model ocean currents Daniel Shen Valuing Uncertainty in Electricity Markets Ashkan Soleymani Causal Feature Selection via Orthogonal Search |
12:30 p.m. - 2:00 p.m. | Lunch (Room 32-D677) |
2:00 p.m. - 3:00 p.m. |
Plenary Talk
Prof. Martin Wainwright
Challenges with Covariate Shift: What is it and what to do about it? |
3:00 p.m. - 3:15 p.m. | Coffee Break |
3:15 p.m. - 5:00 p.m. |
Student Session on Control and Game Theory
Gilhyun Ryou
Multi-fidelity time-optimal trajectory generation Yi Tian Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? Allen Wang Plasma Control: A Critical Path Problem for Fusion Energy Lujie Yang Suboptimal Controller Synthesis for CartPoles and Quadrotors via Sums-of-Squares Varun Murali Perception-aware planning for fast and agile robots Alexandre Amice Rigorous Polyhedral Decompositions of Collision-Free Configuration Space for Robot Manipulators |
5:00 p.m. - 5:45 p.m. |
Panel Discussion
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Friday, February 3, 2023 (Room 32-155)
8:30 a.m. - 9:00 a.m. | Breakfast |
9:00 a.m. - 10:00 a.m. |
Plenary Talk
Prof. Saurabh Amin
Platform-Enabled Learning and Information Provision for Congestion Management |
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
Anzo Teh
Improved empirical Bayes estimation for the Poisson mixture model via empirical risk minimization Sung Min (Sam) Park TRAK: Understanding Model Predictions at Scale via the Empirical NTK Austin J Stromme On the sample complexity of entropic optimal transport Adityanarayanan Radhakrishnan Feature learning in neural networks and kernel machines that recursively learn features Yaqi Duan Optimal policy evaluation using kernel-based temporal difference methods Rohan Alur A Practical Audit for Human Expertise via Conditional Permutation Testing Lelia Marie Hampton Fair and Robust Deep Learning Under Heavy-Tailed Uncertainty |
12:15 p.m. - 2:00 p.m. | Lunch (Room 32-D677) |
2:00 p.m. - 3:00 p.m. |
Plenary Talk
Prof. Necmiye Ozay
Formal methods for Cyber Physical Systems: State of the Art and Future Challenges |
3:00 p.m. - 3:15 p.m. | Coffee Break |
3:15 p.m. - 5:00 p.m. |
Student Session on Information and Networks
Chandler Squires
Linear Causal Disentanglement via Interventions Sylvie Koziel How much data is too much data? Vishrant Tripathi WiSwarm: Age-of-Information-based Wireless Networking for Collaborative Teams of UAVs Gioele Zardini Co-design of Complex Systems: From Embodied Intelligence to Mobility Systems Wentao Weng Efficient decentralized multi-agent learning in asymmetric bipartite queuing systems Austin Saragih Value of Information Analysis for Supply Chain Network Design Under Uncertainty |
6:00 p.m. | Reception/Dinner (Samberg) |