Michael I. Jordan - arXivDaily 作者

1803.02432 2018-03-08 stat.ML

On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding

Daniel Ting, Michael I. Jordan

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1803.00101 2018-03-02 cs.LG cs.AI stat.ML

Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning

Vladimir Feinberg, Alvin Wan, Ion Stoica, Michael I. Jordan, Joseph E. Gonzalez, Sergey Levine

1802.05431 2018-02-16 stat.ML cs.LG

On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo

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

Comments 37 pages; 4 figures

1802.03653 2018-02-16 stat.CO

On Symplectic Optimization

Michael Betancourt, Michael I. Jordan, Ashia C. Wilson

Comments 20 pages, 5 figures

1707.03663 2018-01-30 stat.ML cs.LG stat.CO

Underdamped Langevin MCMC: A non-asymptotic analysis

Xiang Cheng, Niladri S. Chatterji, Peter L. Bartlett, Michael I. Jordan

Comments 23 pages; Correction to Corollary 7

1711.02838 2017-12-07 cs.LG math.OC stat.ML

Stochastic Cubic Regularization for Fast Nonconvex Optimization

Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan

Comments The first two authors contributed equally

1712.01435 2017-12-06 stat.ME

Measuring Cluster Stability for Bayesian Nonparametrics Using the Linear Bootstrap

Ryan Giordano, Runjing Liu, Nelle Varoquaux, Michael I. Jordan, Tamara Broderick

Comments 9 pages, NIPS 2017 Advances in Approximate Bayesian Inference Workshop

1711.10456 2017-11-29 cs.LG math.OC stat.ML

Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent

Chi Jin, Praneeth Netrapalli, Michael I. Jordan

1706.02375 2017-11-07 cs.LG stat.ML

Fast Black-box Variational Inference through Stochastic Trust-Region Optimization

Jeffrey Regier, Michael I. Jordan, Jon McAuliffe

Comments NIPS 2017 camera-ready

1705.10412 2017-11-07 math.OC cs.LG stat.ML

Gradient Descent Can Take Exponential Time to Escape Saddle Points

Simon S. Du, Chi Jin, Jason D. Lee, Michael I. Jordan, Barnabas Poczos, Aarti Singh

Comments Accepted by NIPS 2017

1710.07406 2017-10-23 stat.ML cs.LG math.OC

First-order Methods Almost Always Avoid Saddle Points

Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Max Simchowitz, Michael I. Jordan, Benjamin Recht

1710.02903 2017-10-10 math.ST cs.IT math.IT math.PR stat.TH

Finite Size Corrections and Likelihood Ratio Fluctuations in the Spiked Wigner Model

Ahmed El Alaoui, Florent Krzakala, Michael I. Jordan

Comments 40 pages, 2 figures

1710.00499 2017-10-03 stat.ME cs.LG math.ST stat.ML stat.TH

Online control of the false discovery rate with decaying memory

Aaditya Ramdas, Fanny Yang, Martin J. Wainwright, Michael I. Jordan

Comments 20 pages, 4 figures. Published in the proceedings of NIPS 2017

1605.06636 2017-08-18 cs.LG stat.ML

Deep Transfer Learning with Joint Adaptation Networks

Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan

Comments 34th International Conference on Machine Learning

1707.07901 2017-07-26 cs.LG

Partial Transfer Learning with Selective Adversarial Networks

Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan

1603.08035 2017-07-24 stat.ML cs.DM cs.LG

On kernel methods for covariates that are rankings

Horia Mania, Aaditya Ramdas, Martin J. Wainwright, Michael I. Jordan, Benjamin Recht

Comments 35 pages, 5 figures

1703.03924 2017-05-23 cs.DC cs.AI cs.LG

Real-Time Machine Learning: The Missing Pieces

Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica

Comments 6 pages, 3 figures

1705.05391 2017-05-17 math.ST stat.AP stat.ME stat.TH

Optimal Rates and Tradeoffs in Multiple Testing

Maxim Rabinovich, Aaditya Ramdas, Michael I. Jordan, Martin J. Wainwright

1502.05477 2017-04-24 cs.LG

Trust Region Policy Optimization

John Schulman, Sergey Levine, Philipp Moritz, Michael I. Jordan, Pieter Abbeel

Comments 16 pages, ICML 2015

1703.00887 2017-03-03 cs.LG math.OC stat.ML

How to Escape Saddle Points Efficiently

Chi Jin, Rong Ge, Praneeth Netrapalli, Sham M. Kakade, Michael I. Jordan

1602.04433 2017-02-17 cs.LG

Unsupervised Domain Adaptation with Residual Transfer Networks

Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan

Comments 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain

0809.0853 2016-11-18 math.ST cs.IT math.IT stat.TH

Estimating divergence functionals and the likelihood ratio by convex risk minimization

XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan

Comments 28 pages

Journal ref IEEE Transactions on Information Theory, 56(11), 5847--5861, 2010

1210.6738 2016-11-17 stat.ML cs.LG

Nested Hierarchical Dirichlet Processes

John Paisley, Chong Wang, David M. Blei, Michael I. Jordan

Comments To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue on Bayesian Nonparametrics

math/0608556 2016-11-17 math.ST cs.IT math.IT stat.TH

On optimal quantization rules for some problems in sequential decentralized detection

XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan

Comments Published as IEEE Transactions on Information Theory, Vol. 54(7), 3285-3295, 2008

1605.07689 2016-11-08 stat.ML cs.IT cs.LG math.IT math.OC stat.ME

Communication-Efficient Distributed Statistical Inference

Michael I. Jordan, Jason D. Lee, Yun Yang

1605.02077 2016-10-04 math.ST cs.LG math.PR stat.TH

Function-Specific Mixing Times and Concentration Away from Equilibrium

Maxim Rabinovich, Aaditya Ramdas, Michael I. Jordan, Martin J. Wainwright

1512.04039 2016-08-04 cs.LG math.OC

Distributed Optimization with Arbitrary Local Solvers

Chenxin Ma, Jakub Konečný, Martin Jaggi, Virginia Smith, Michael I. Jordan, Peter Richtárik, Martin Takáč

1602.03253 2016-07-04 stat.ML

A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation

Qiang Liu, Jason D. Lee, Michael I. Jordan

1512.04011 2016-06-06 cs.LG

L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework

Virginia Smith, Simone Forte, Michael I. Jordan, Martin Jaggi

1605.09721 2016-06-01 stat.ML cs.DC cs.DS cs.LG math.OC

CYCLADES: Conflict-free Asynchronous Machine Learning

Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris Papailiopoulos, Ce Zhang, Michael I. Jordan, Kannan Ramchandran, Chris Re, Benjamin Recht