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
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

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)