JMLR - arXivDaily 期刊&会议

1211.6727 2012-11-29 cs.AI cs.CG cs.LG

Graph Laplacians on Singular Manifolds: Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries

Mikhail Belkin, Qichao Que, Yusu Wang, Xueyuan Zhou

Journal ref JMLR W&CP 23: 36.1 - 36.26, 2012

1107.4512 2012-10-25 math.ST stat.TH

Multi-task Regression using Minimal Penalties

Matthieu Solnon, Sylvain Arlot, Francis Bach

Journal ref Journal of Machine Learning Research 13 (2012) 2773-2812

1104.2808 2012-09-27 stat.ME cs.DM math.ST stat.TH

Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs

Alain Hauser, Peter Bühlmann

Journal ref Journal of Machine Learning Research, 13:2409-2464, 2012

1011.6086 2012-09-17 stat.ML cs.LG

In All Likelihood, Deep Belief Is Not Enough

Lucas Theis, Sebastian Gerwinn, Fabian Sinz, Matthias Bethge

Journal ref Journal of Machine Learning Research 12, 3071-3096, 2011

1108.3476 2012-08-21 cs.LG stat.ML

Structured Sparsity and Generalization

Andreas Maurer, Massimiliano Pontil

Journal ref Journal of Machine Learning Research, 13:671-690, 2012

0809.1590 2012-08-21 cs.LG

When is there a representer theorem? Vector versus matrix regularizers

Andreas Argyriou, Charles Micchelli, Massimiliano Pontil

Comments 22 pages 2 figures

Journal ref Journal of Machine Learning Research, 10:2507-2529, 2009

1201.0838 2012-08-14 cs.LG

A Topic Modeling Toolbox Using Belief Propagation

Jia Zeng

Comments 4 pages

Journal ref Journal of Machine Learning Research (13) 2233-2236, 2012

1106.4431 2012-06-28 stat.ML stat.ME

Gaussian Process Regression with a Student-t Likelihood

Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari

Journal ref Journal of Machine Learning Research 12 (2011) 3227-3257

1101.4752 2012-04-04 cs.LG math.OC

A Primal-Dual Convergence Analysis of Boosting

Matus Telgarsky

Comments 40 pages, 8 figures; the NIPS 2011 submission "The Fast Convergence of Boosting" is a brief presentation of the primary results; compared with the JMLR version, this arXiv version has hyperref and some formatting tweaks

Journal ref Journal of Machine Learning Research, 13:561-606, 2012

1203.5647 2012-03-27 stat.ML

Polynomial expansion of the binary classification function

Péter Kövesárki

Comments 6 pages, 6 figures. Submitted to JMLR, pending decision

1203.2821 2012-03-14 stat.ME cs.LG cs.SI physics.soc-ph

Graphlet decomposition of a weighted network

Hossein Azari Soufiani, Edoardo M Airoldi

Comments 25 pages, 4 figures, 3 tables

Journal ref Journal of Machine Learning Research, Workshop & Conference Proceedings, vol. 22 (AISTATS), 2012

0912.4883 2012-03-13 cs.LG cs.AI cs.IT math.IT math.ST stat.TH

On Finding Predictors for Arbitrary Families of Processes

Daniil Ryabko

Journal ref Journal of Machine Learning Research 11 (2010) 581-602

cs/0507040 2012-02-28 cs.LG cs.AI cs.CV

Pattern Recognition for Conditionally Independent Data

Daniil Ryabko

Comments parts of results published at ALT'04 and ICML'04

Journal ref Journal of Machine Learning Research 7(Apr):645-664, 2006

1202.1787 2012-02-09 stat.ML

Greedy Learning of Markov Network Structure

Praneeth Netrapalli, Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai

Comments Preliminary version appeared in 48th Annual Allerton Conference on Communication, Control, and Computing, 2010. Full version submitted to JMLR

1202.0786 2012-02-07 stat.ML cs.LG math.ST stat.TH

Minimax Rates of Estimation for Sparse PCA in High Dimensions

Vincent Q. Vu, Jing Lei

Comments To appear in Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, La Palma, Canary Islands. Volume 22 of JMLR: W&CP 22

1201.6626 2012-02-01 cs.AI cs.LG cs.MA

Learning RoboCup-Keepaway with Kernels

Tobias Jung, Daniel Polani

Journal ref JMLR Workshop and Conference Proceedings (1st Gaussian Processes in Practice Workshop, 2006)

1012.1367 2012-02-01 cs.LG cs.DC math.OC

Optimal Distributed Online Prediction using Mini-Batches

Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao

Comments Final version of paper to appear in Journal of Machine Learning Research (JMLR)

1009.0530 2012-01-11 stat.ML math.ST stat.TH

High-dimensional covariance estimation based on Gaussian graphical models

Shuheng Zhou, Philipp Rutimann, Min Xu, Peter Buhlmann

Comments 50 Pages, 6 figures. Major revision

Journal ref Journal of Machine Learning Research, Volume 12, pp 2975-3026, 2011

0904.3523 2011-11-23 stat.ML

Structured Variable Selection with Sparsity-Inducing Norms

Rodolphe Jenatton, Jean-Yves Audibert, Francis Bach

Journal ref Journal of Machine Learning Research 12 (2011) 2777-2824

cs/0612109 2011-11-10 cs.AI

Truncating the loop series expansion for Belief Propagation

Vicenc Gomez, J. M. Mooij, H. J. Kappen

Comments 31 pages, 12 figures, submitted to Journal of Machine Learning Research

Journal ref The Journal of Machine Learning Research, 8(Sep):1987--2016, 2007

cs/0612030 2011-11-10 cs.AI cs.IT cs.LG math.IT

Loop corrections for approximate inference

Joris Mooij, Bert Kappen

Comments Technical report, 38 pages, 14 figures

Journal ref Journal of Machine Learning Research 8(May):1113-1143, 2007

1104.1872 2011-10-17 math.OC cs.LG stat.ML

Convex and Network Flow Optimization for Structured Sparsity

Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis Bach

Comments to appear in the Journal of Machine Learning Research (JMLR)

Journal ref Journal of Machine Learning Research 12 (2011) 2681?2720

1009.2139 2011-08-18 stat.ML

Proximal Methods for Hierarchical Sparse Coding

Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis Bach

Journal ref Journal of Machine Learning Research, 12 (2011) 2297-2334

1004.5265 2011-06-24 stat.ML

Sparse Linear Identifiable Multivariate Modeling

Ricardo Henao, Ole Winther

Comments 45 pages, 17 figures

Journal ref JMLR, 12(Mar):863-905, 2011

0911.4046 2011-06-07 stat.ML cs.LG stat.ME

Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for Sparsity Regularized Estimation

Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama

Comments 51 pages, 9 figures

Journal ref Journal of Machine Learning Research, 12(May):1537-1586, 2011

1105.5789 2011-05-31 cs.IR cs.DL

Clustering and Classification in Text Collections Using Graph Modularity

Grigory Pivovarov, Sergei Trunov

Comments 11 pages, submitted to JMLR

1101.2489 2011-04-08 stat.ML

DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model

Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvarinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen

Comments A revised version of this was accepted in Journal of Machine Learning Research

0912.0071 2011-02-18 cs.LG cs.AI cs.CR cs.DB

Differentially Private Empirical Risk Minimization

Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate

Comments 40 pages, 7 figures, accepted to the Journal of Machine Learning Research

1005.0766 2011-02-15 cs.IT math.IT stat.ML

Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates

Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky

Comments Accepted to the Journal of Machine Learning Research (Feb 2011)

1009.0605 2011-01-18 cs.LG cs.AI

Gaussian Process Bandits for Tree Search: Theory and Application to Planning in Discounted MDPs

Louis Dorard, John Shawe-Taylor

Comments Second draft. Tried to follow the JMLR formatting guidelines. Made corrections to the section on planning in MDPs