Search All 2022 Events
 

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Poster
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Eloïse Berthier · Ziad Kobeissi · Francis Bach
Poster
Tue 9:00 Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems
Yahya Sattar · Samet Oymak
Poster
Thu 14:00 A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Lijia Zhou · Frederic Koehler · Pragya Sur · Danica J. Sutherland · Nati Srebro
Poster
Wed 9:00 Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
Workshop
Sufficient Conditions for Non-asymptotic Convergence of Riemannian Optimization Methods
Vishwak Srinivasan · Ashia Wilson
Workshop
Sufficient conditions for non-asymptotic convergence of Riemannian optimization methods
Vishwak Srinivasan · Ashia Wilson
Poster
Thu 9:00 Asymptotics of smoothed Wasserstein distances in the small noise regime
Yunzi Ding · Jonathan Niles-Weed
Poster
Wed 9:00 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
Tianyuan Jin · Pan Xu · Xiaokui Xiao · Anima Anandkumar
Poster
Wed 9:00 Efficiency Ordering of Stochastic Gradient Descent
Jie Hu · Vishwaraj Doshi · Do-Young Eun
Poster
Wed 9:00 Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality
Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert
Panel
Wed 10:45 Panel 3B-4: Learning and Covering… & Asymptotics of smoothed…
Jonathan Niles-Weed · Konstantinos Stavropoulos
Panel
Tue 18:15 Panel 2A-3: DPM-Solver: A Fast… & Asymptotic Behaviors of…
Jiadong Liang · Cheng Lu