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Gone Fishing: Neural Active Learning with Fisher Embeddings


Jun 17, 2021
Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Sham Kakade


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LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes


Jun 02, 2021
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham Kakade, Ali Farhadi

* 18 pages, 6 figures 

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Robust and Differentially Private Mean Estimation


Feb 18, 2021
Xiyang Liu, Weihao Kong, Sham Kakade, Sewoong Oh

* 55 pages, 1 figure 

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How Important is the Train-Validation Split in Meta-Learning?


Oct 12, 2020
Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham Kakade, Huan Wang, Caiming Xiong


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PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning


Aug 13, 2020
Alekh Agarwal, Mikael Henaff, Sham Kakade, Wen Sun


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Information Theoretic Regret Bounds for Online Nonlinear Control


Jun 22, 2020
Sham Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun


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FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs


Jun 18, 2020
Alekh Agarwal, Sham Kakade, Akshay Krishnamurthy, Wen Sun


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Robust Meta-learning for Mixed Linear Regression with Small Batches


Jun 18, 2020
Weihao Kong, Raghav Somani, Sham Kakade, Sewoong Oh

* 52 pages, 2 figures 

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Soft Threshold Weight Reparameterization for Learnable Sparsity


Mar 11, 2020
Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham Kakade, Ali Farhadi

* 17 pages, 9 figures 

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Optimal Regularization Can Mitigate Double Descent


Mar 04, 2020
Preetum Nakkiran, Prayaag Venkat, Sham Kakade, Tengyu Ma


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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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Provable Representation Learning for Imitation Learning via Bi-level Optimization


Feb 24, 2020
Sanjeev Arora, Simon S. Du, Sham Kakade, Yuping Luo, Nikunj Saunshi

* 26 pages 

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Meta-learning for mixed linear regression


Feb 20, 2020
Weihao Kong, Raghav Somani, Zhao Song, Sham Kakade, Sewoong Oh


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Meta-Learning with Implicit Gradients


Sep 10, 2019
Aravind Rajeswaran, Chelsea Finn, Sham Kakade, Sergey Levine

* NeurIPS 2019. First two authors contributed equally 

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On the Optimality of Sparse Model-Based Planning for Markov Decision Processes


Jul 04, 2019
Alekh Agarwal, Sham Kakade, Lin F. Yang


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Online Meta-Learning


Feb 22, 2019
Chelsea Finn, Aravind Rajeswaran, Sham Kakade, Sergey Levine

* The first two authors contributed equally 

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Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control


Jan 28, 2019
Kendall Lowrey, Aravind Rajeswaran, Sham Kakade, Emanuel Todorov, Igor Mordatch

* The first two authors contributed equally. Accepted at ICLR 2019. Supplementary videos available at: https://sites.google.com/view/polo-mpc 

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Provably Correct Automatic Subdifferentiation for Qualified Programs


Sep 23, 2018
Sham Kakade, Jason D. Lee


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Variance Reduction Methods for Sublinear Reinforcement Learning


Aug 25, 2018
Sham Kakade, Mengdi Wang, Lin F. Yang

* Fixed a bug of a previous version 

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Prediction with a Short Memory


Jun 28, 2018
Vatsal Sharan, Sham Kakade, Percy Liang, Gregory Valiant

* Updates for STOC camera ready 

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Learning Overcomplete HMMs


Jun 28, 2018
Vatsal Sharan, Sham Kakade, Percy Liang, Gregory Valiant

* Added acknowledgements 

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Stochastic subgradient method converges on tame functions


May 26, 2018
Damek Davis, Dmitriy Drusvyatskiy, Sham Kakade, Jason D. Lee

* 32 pages, 1 figure 

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