Michael I. Jordan - arXivDaily 作者

1210.6911 2014-09-17 stat.CO stat.ML

Ancestor Sampling for Particle Gibbs

Fredrik Lindsten, Michael I. Jordan, Thomas B. Schön

Journal ref Advances in Neural Information Processing Systems (NIPS) 25, (2012) 2600-2608

1302.3203 2014-08-28 math.ST cs.CR cs.IT math.IT stat.TH

Local Privacy, Data Processing Inequalities, and Statistical Minimax Rates

John C. Duchi, Michael I. Jordan, Martin J. Wainwright

Comments 59 pages, 3 figures

1312.2139 2014-08-21 math.OC cs.IT math.IT stat.ML

Optimal rates for zero-order convex optimization: the power of two function evaluations

John C. Duchi, Michael I. Jordan, Martin J. Wainwright, Andre Wibisono

Comments 34 pages

1405.0782 2014-06-24 cs.IT cs.LG math.IT math.ST stat.TH

Optimality guarantees for distributed statistical estimation

John C. Duchi, Michael I. Jordan, Martin J. Wainwright, Yuchen Zhang

Comments 34 pages, 1 figure. Preliminary version appearing in Neural Information Processing Systems 2013 (http://papers.nips.cc/paper/4902-information-theoretic-lower-bounds-for-distributed-statistical-estimation-with-communication-constraints)

1402.1918 2014-05-22 math.ST cs.CC stat.TH

Lower bounds on the performance of polynomial-time algorithms for sparse linear regression

Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan

1201.6002 2014-04-29 math.PR

Matrix concentration inequalities via the method of exchangeable pairs

Lester Mackey, Michael I. Jordan, Richard Y. Chen, Brendan Farrell, Joel A. Tropp

Comments Published in at http://dx.doi.org/10.1214/13-AOP892 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Annals of Probability 2014, Vol. 42, No. 3, 906-945

1310.8420 2014-01-07 q-bio.GN q-bio.QM

SMaSH: A Benchmarking Toolkit for Human Genome Variant Calling

Ameet Talwalkar, Jesse Liptrap, Julie Newcomb, Christopher Hartl, Jonathan Terhorst, Kristal Curtis, Ma'ayan Bresler, Yun S. Song, Michael I. Jordan, David Patterson

1204.1688 2013-11-27 math.ST cs.LG stat.ML stat.TH

The asymptotics of ranking algorithms

John C. Duchi, Lester Mackey, Michael I. Jordan

Comments Published in at http://dx.doi.org/10.1214/13-AOS1142 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Annals of Statistics 2013, Vol. 41, No. 5, 2292-2323

1307.6769 2013-11-22 stat.ML cs.LG

Streaming Variational Bayes

Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson, Michael I. Jordan

Comments 25 pages, 3 figures, 1 table

1310.5426 2013-10-29 cs.LG cs.DC stat.ML

MLI: An API for Distributed Machine Learning

Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska

1107.0789 2013-10-29 cs.LG cs.DS cs.NA math.NA stat.ML

Distributed Matrix Completion and Robust Factorization

Lester Mackey, Ameet Talwalkar, Michael I. Jordan

Comments 35 pages, 6 figures

1304.5583 2013-10-17 cs.CV cs.DC cs.LG stat.ML

Distributed Low-rank Subspace Segmentation

Ameet Talwalkar, Lester Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan

1210.2085 2013-10-11 stat.ML cs.IT cs.LG math.IT

Privacy Aware Learning

John C. Duchi, Michael I. Jordan, Martin J. Wainwright

Comments 60 pages

1206.5862 2013-10-02 math.ST stat.ME stat.TH

Cluster and Feature Modeling from Combinatorial Stochastic Processes

Tamara Broderick, Michael I. Jordan, Jim Pitman

Comments Published in at http://dx.doi.org/10.1214/13-STS434 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Journal ref Statistical Science 2013, Vol. 28, No. 3, 289-312

1309.7804 2013-10-01 stat.ML cs.LG math.ST stat.TH

On statistics, computation and scalability

Michael I. Jordan

Comments Published in at http://dx.doi.org/10.3150/12-BEJSP17 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)

Journal ref Bernoulli 2013, Vol. 19, No. 4, 1378-1390

1309.3533 2013-09-16 stat.ME cs.LG stat.ML

Mixed Membership Models for Time Series

Emily B. Fox, Michael I. Jordan

1307.8049 2013-07-31 cs.LG cs.AI cs.DC

Optimistic Concurrency Control for Distributed Unsupervised Learning

Xinghao Pan, Joseph E. Gonzalez, Stefanie Jegelka, Tamara Broderick, Michael I. Jordan

Comments 25 pages, 5 figures

1111.1802 2013-06-11 stat.ME stat.ML

Combinatorial clustering and the beta negative binomial process

Tamara Broderick, Lester Mackey, John Paisley, Michael I. Jordan

Comments 56 pages, 4 figures, 6 tables

1104.2930 2013-06-07 stat.ME cs.LG stat.ML

Cluster Forests

Donghui Yan, Aiyou Chen, Michael I. Jordan

Comments 23 pages, 6 figures

Journal ref Computational Statistics and Data Analysis 2013, Vol. 66, 178-192

1305.6000 2013-05-28 math.ST cs.CR cs.IT math.IT stat.TH

Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation

John C. Duchi, Michael I. Jordan, Martin J. Wainwright

Comments 27 pages, 1 figure

1212.2126 2013-02-19 stat.ML

MAD-Bayes: MAP-based Asymptotic Derivations from Bayes

Tamara Broderick, Brian Kulis, Michael I. Jordan

Comments 13 pages, 3 figures

1302.3586 2013-02-18 cs.AI

Computing Upper and Lower Bounds on Likelihoods in Intractable Networks

Tommi S. Jaakkola, Michael I. Jordan

Comments Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996)

1301.7393 2013-02-01 cs.LG stat.ML

Mixture Representations for Inference and Learning in Boltzmann Machines

Neil D. Lawrence, Christopher M. Bishop, Michael I. Jordan

Comments Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998)

1301.6725 2013-01-30 cs.AI cs.LG

Loopy Belief Propagation for Approximate Inference: An Empirical Study

Kevin Murphy, Yair Weiss, Michael I. Jordan

Comments Appears in Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999)

1301.6647 2013-01-30 math.PR math.ST stat.TH

Feature allocations, probability functions, and paintboxes

Tamara Broderick, Jim Pitman, Michael I. Jordan

Comments 37 pages, 9 figures

1301.3878 2013-01-18 cs.AI cs.LG

PEGASUS: A Policy Search Method for Large MDPs and POMDPs

Andrew Y. Ng, Michael I. Jordan

Comments Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000)

1301.3570 2013-01-17 stat.ML

A Nested HDP for Hierarchical Topic Models

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

Comments Submitted to the workshop track of the International Conference on Learning Representations 2013. It is a short version of a longer paper

1301.2267 2013-01-14 cs.AI cs.DS

Efficient Stepwise Selection in Decomposable Models

Amol Deshpande, Minos Garofalakis, Michael I. Jordan

Comments Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001)

1301.2266 2013-01-14 cs.LG stat.CO stat.ML

Variational MCMC

Nando de Freitas, Pedro Hojen-Sorensen, Michael I. Jordan, Stuart Russell

Comments Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001)

1301.0605 2013-01-07 cs.AI

Loopy Belief Propogation and Gibbs Measures

Sekhar Tatikonda, Michael I. Jordan

Comments Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002)