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High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm

Aug 28, 2019
Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan


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Bayesian Robustness: A Nonasymptotic Viewpoint

Jul 27, 2019
Kush Bhatia, Yi-An Ma, Anca D. Dragan, Peter L. Bartlett, Michael I. Jordan

* 30 pages, 5 figures 

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Is There an Analog of Nesterov Acceleration for MCMC?

Feb 04, 2019
Yi-An Ma, Niladri Chatterji, Xiang Cheng, Nicolas Flammarion, Peter Bartlett, Michael I. Jordan


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Sampling Can Be Faster Than Optimization

Nov 20, 2018
Yi-An Ma, Yuansi Chen, Chi Jin, Nicolas Flammarion, Michael I. Jordan


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Stochastic Gradient MCMC for State Space Models

Oct 22, 2018
Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox


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Deep Mixture of Experts via Shallow Embedding

Jun 05, 2018
Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez

* 14 pages, 8 figures, under review at NIPS 2018 

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On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo

Feb 15, 2018
Niladri S. Chatterji, Nicolas Flammarion, Yi-An Ma, Peter L. Bartlett, Michael I. Jordan

* 37 pages; 4 figures 

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Stochastic Gradient MCMC Methods for Hidden Markov Models

Jun 14, 2017
Yi-An Ma, Nicholas J. Foti, Emily B. Fox


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A Complete Recipe for Stochastic Gradient MCMC

Nov 01, 2015
Yi-An Ma, Tianqi Chen, Emily B. Fox


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