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Michael I. Jordan

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A Deep Generative Model for Semi-Supervised Classification with Noisy Labels

Sep 16, 2018
Maxime Langevin, Edouard Mehlman, Jeffrey Regier, Romain Lopez, Michael I. Jordan, Nir Yosef

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Sharp Convergence Rates for Langevin Dynamics in the Nonconvex Setting

Sep 07, 2018
Xiang Cheng, Niladri S. Chatterji, Yasin Abbasi-Yadkori, Peter L. Bartlett, Michael I. Jordan

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L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data

Aug 08, 2018
Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan

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Is Q-learning Provably Efficient?

Jul 10, 2018
Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck, Michael I. Jordan

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RLlib: Abstractions for Distributed Reinforcement Learning

Jun 29, 2018
Eric Liang, Richard Liaw, Philipp Moritz, Robert Nishihara, Roy Fox, Ken Goldberg, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica

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Fundamental limits of detection in the spiked Wigner model

Jun 25, 2018
Ahmed El Alaoui, Florent Krzakala, Michael I. Jordan

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Detection limits in the high-dimensional spiked rectangular model

Jun 14, 2018
Ahmed El Alaoui, Michael I. Jordan

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Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

Jun 14, 2018
Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan

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Averaging Stochastic Gradient Descent on Riemannian Manifolds

Jun 08, 2018
Nilesh Tripuraneni, Nicolas Flammarion, Francis Bach, Michael I. Jordan

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Improved Oracle Complexity for Stochastic Compositional Variance Reduced Gradient

Jun 01, 2018
Tianyi Lin, Chenyou Fan, Mengdi Wang, Michael I. Jordan

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