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The Implicit and Explicit Regularization Effects of Dropout


Mar 02, 2020
Colin Wei, Sham Kakade, Tengyu Ma

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Understanding Self-Training for Gradual Domain Adaptation


Feb 26, 2020
Ananya Kumar, Tengyu Ma, Percy Liang

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Variable-Viewpoint Representations for 3D Object Recognition


Feb 08, 2020
Tengyu Ma, Joel Michelson, James Ainooson, Deepayan Sanyal, Xiaohan Wang, Maithilee Kunda

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* 8 pages, 6 figures 

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Bootstrapping the Expressivity with Model-based Planning


Oct 14, 2019
Kefan Dong, Yuping Luo, Tengyu Ma

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Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin


Oct 09, 2019
Colin Wei, Tengyu Ma

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Verified Uncertainty Calibration


Sep 23, 2019
Ananya Kumar, Percy Liang, Tengyu Ma

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* Accepted as a spotlight to NeurIPS 2019, original title was "Variance Reduced Uncertainty Calibration" 

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Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling


Aug 01, 2019
Yuping Luo, Huazhe Xu, Tengyu Ma

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A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning


Jul 15, 2019
Nicholas C. Landolfi, Garrett Thomas, Tengyu Ma

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* 13 pages, 3 figures 

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