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Poster
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Wed 9:00
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Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
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Poster
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A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Eloïse Berthier · Ziad Kobeissi · Francis Bach
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Poster
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Tue 9:00
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Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems
Yahya Sattar · Samet Oymak
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Workshop
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Sufficient Conditions for Non-asymptotic Convergence of Riemannian Optimization Methods
Vishwak Srinivasan · Ashia Wilson
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Workshop
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Sufficient conditions for non-asymptotic convergence of Riemannian optimization methods
Vishwak Srinivasan · Ashia Wilson
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Poster
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Thu 14:00
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A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Lijia Zhou · Frederic Koehler · Pragya Sur · Danica J. Sutherland · Nati Srebro
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Poster
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Wed 9:00
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Efficiency Ordering of Stochastic Gradient Descent
Jie Hu · Vishwaraj Doshi · Do-Young Eun
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Poster
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Tue 9:00
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Subspace Recovery from Heterogeneous Data with Non-isotropic Noise
John Duchi · Vitaly Feldman · Lunjia Hu · Kunal Talwar
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Poster
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Wed 9:00
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Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
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Poster
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Wed 9:00
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On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
Jinglin Chen · Aditya Modi · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal
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