|
Poster
|
Thu 7:30
|
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
Joey Hong · Anca Dragan · Sergey Levine
|
|
|
Poster
|
Thu 7:30
|
Optimal Sample Complexity for Average Reward Markov Decision Processes
Shengbo Wang · Jose Blanchet · Peter Glynn
|
|
|
Poster
|
Thu 7:30
|
On the Sample Complexity of Lipschitz Constant Estimation
Stephen Roberts · Julien Huang · Jan-Peter Calliess
|
|
|
Poster
|
Tue 7:30
|
SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
Margalit Glasgow
|
|
|
Poster
|
Wed 7:30
|
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
Runyu Zhang · Yang Hu · Na Li
|
|
|
Poster
|
Fri 7:30
|
Optimal Sample Complexity of Contrastive Learning
Noga Alon · Dmitrii Avdiukhin · Dor Elboim · Orr Fischer · Grigory Yaroslavtsev
|
|
|
Poster
|
Wed 1:45
|
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
Aakash Sunil Lahoti · Stefani Karp · Ezra Winston · Aarti Singh · Yuanzhi Li
|
|
|
Poster
|
Thu 1:45
|
Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity
Hugo Cui · Florent Krzakala · Eric Vanden-Eijnden · Lenka Zdeborova
|
|
|
Workshop
|
|
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
Yuchen Li · Alexandre Kirchmeyer · Aashay Mehta · Yilong Qin · Boris Dadachev · Kishore Papineni · Sanjiv Kumar · Andrej Risteski
|
|
