JMLR - arXivDaily 期刊&会议

1405.6076 2014-05-26 cs.LG

Online Linear Optimization via Smoothing

Jacob Abernethy, Chansoo Lee, Abhinav Sinha, Ambuj Tewari

Comments COLT 2014

Journal ref JMLR 2014 W&CP

1310.8499 2014-05-21 cs.LG stat.ML

Deep AutoRegressive Networks

Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra

Comments Appears in Proceedings of the 31st International Conference on Machine Learning (ICML), Beijing, China, 2014

Journal ref Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra. Deep AutoRegressive Networks. In Proceedings of the 31st International Conference on Machine Learning (ICML), JMLR: W&CP volume 32, 2014

1310.6778 2014-05-21 stat.ML

Bayesian estimation of possible causal direction in the presence of latent confounders using a linear non-Gaussian acyclic structural equation model with individual-specific effects

Shohei Shimizu, Kenneth Bollen

Comments 21 pages, 4 figures. A revised version was accepted at Journal of Machine Learning Research

0907.3986 2014-05-21 cs.DS cs.LG

Contextual Bandits with Similarity Information

Aleksandrs Slivkins

Comments This is the full version of a conference paper in COLT 2011, to appear in JMLR in 2014. A preliminary version of this manuscript (with all the results) has been posted to arXiv in February 2011. An earlier version on arXiv, which does not include the results in Section 6, dates back to July 2009. The present revision addresses various presentation issues pointed out by journal referees

1405.3738 2014-05-16 stat.ML stat.AP

Effective Bayesian Modeling of Groups of Related Count Time Series

Nicolas Chapados

Comments 10 pages, 7 figures. Appears in Proceedings of the 31st International Conference on Machine Learning, Beijing, China, 2014. JMLR: W&CP volume 32

1405.2106 2014-05-12 cs.IT math.IT math.ST stat.ME stat.TH

Information Theoretical Estimators Toolbox

Zoltan Szabo

Comments 5 pages; ITE toolbox: https://bitbucket.org/szzoli/ite/

Journal ref Journal of Machine Learning Research 15:283-287, 2014

1303.0551 2014-05-09 stat.ML cs.IT cs.LG math.IT

Sparse PCA through Low-rank Approximations

Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Stavros Korokythakis

Comments Long version of the ICML 2013 paper: http://jmlr.org/proceedings/papers/v28/papailiopoulos13.html

1404.7063 2014-04-30 stat.ME

High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation

Rafael Izbicki, Ann B. Lee, Chad M. Schafer

Comments With supplementary material

Journal ref JMLR W&CP 33 :420-429, 2014

1404.3418 2014-04-15 stat.ML cs.IT math.IT math.ST stat.TH

Active Learning for Undirected Graphical Model Selection

Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk

Comments AISTATS 2014

Journal ref Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS) 2014, Reykjavik, Iceland. JMLR: W&CP volume 33

1302.0328 2014-04-11 cs.IT math.IT

Bayesian Entropy Estimation for Countable Discrete Distributions

Evan Archer, Il Memming Park, Jonathan Pillow

Comments 38 pages LaTeX. Revised and resubmitted to JMLR

1404.0138 2014-04-02 cs.LG

Efficient Algorithms and Error Analysis for the Modified Nystrom Method

Shusen Wang, Zhihua Zhang

Comments 9-page paper plus appendix. In Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS) 2014, Reykjavik, Iceland. JMLR: W&CP volume 33

1311.4555 2014-04-01 stat.ML stat.CO stat.ME

Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife

Stefan Wager, Trevor Hastie, Bradley Efron

Comments To appear in Journal of Machine Learning Research (JMLR)

1110.2306 2014-03-26 stat.ML cs.CV cs.LG

Ground Metric Learning

Marco Cuturi, David Avis

Comments 32 pages, 4 figures

Journal ref Journal of Machine Learning Research, 15, 533-564. 2014

1303.6149 2014-03-18 math.ST cs.LG math.OC stat.TH

Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression

Francis Bach

Journal ref Journal of Machine Learning Research 15 (2014) 595-627

1403.0745 2014-03-05 stat.ML cs.LG

EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines

Marc Claesen, Frank De Smet, Johan Suykens, Bart De Moor

Comments 5 pages, 1 table

Journal ref Journal of Machine Learning Research. 15 (2014) 141-145

1402.5584 2014-02-25 math.ST cs.IT math.IT stat.ML stat.TH

Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression

Divyanshu Vats, Richard G. Baraniuk

Comments AISTATS 2014

Journal ref Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS) 2014, Reykjavik, Iceland. JMLR: W&CP volume 33

1312.4190 2014-02-18 cs.CV

One-Shot-Learning Gesture Recognition using HOG-HOF Features

Jakub Konečný, Michal Hagara

Comments 20 pages, 10 figures, 2 tables To appear in Journal of Machine Learning Research subject to minor revision

1105.0728 2014-02-11 math.OC cs.AI stat.ML

Structured Sparsity via Alternating Direction Methods

Zhiwei Qin, Donald Goldfarb

Journal ref Journal of Machine Learning Research 13 (2012) 1435-1468

0911.3633 2014-02-04 cs.LG math.CO math.GT stat.ML

A Geometric Approach to Sample Compression

Benjamin I. P. Rubinstein, J. Hyam Rubinstein

Comments 37 pages, 18 figures, submitted to the Journal of Machine Learning Research

1401.7620 2014-01-30 stat.ML cs.LG

Bayesian nonparametric comorbidity analysis of psychiatric disorders

Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Perez-Cruz

Comments Submitted to Journal of Machine Learning Research

1303.5145 2014-01-24 stat.ML cs.LG math.OC

Node-Based Learning of Multiple Gaussian Graphical Models

Karthik Mohan, Palma London, Maryam Fazel, Daniela Witten, Su-In Lee

Comments 42 pages, 16 figures. Accepted to JMLR, 2014

1310.1757 2014-01-14 stat.ML cs.LG

A Deep and Tractable Density Estimator

Benigno Uria, Iain Murray, Hugo Larochelle

Comments 9 pages, 4 tables, 1 algorithm, 5 figures. To appear ICML 2014, JMLR W&CP volume 32

1212.0171 2014-01-07 cs.IT cs.LG math.IT stat.ML

Message-Passing Algorithms for Quadratic Minimization

Nicholas Ruozzi, Sekhar Tatikonda

Journal ref Journal of Machine Learning Research. 14 (Aug) :2287-2314, 2013

1302.4245 2014-01-03 stat.ML cs.AI stat.ME

Gaussian Process Kernels for Pattern Discovery and Extrapolation

Andrew Gordon Wilson, Ryan Prescott Adams

Comments 10 pages, 5 figures, 1 table. Minor edits and titled changed from "Gaussian Process Covariance Kernels for Pattern Discovery and Extrapolation" to "Gaussian Process Kernels for Pattern Discovery and Extrapolation". Appears at the International Conference on Machine Learning (ICML), JMLR W&CP 28(3):1067-1075, 2013

Journal ref International Conference on Machine Learning (ICML), JMLR W&CP 28(3):1067-1075, 2013

1208.3380 2013-12-16 stat.ML stat.ME

Consistent selection of tuning parameters via variable selection stability

Wei Sun, Junhui Wang, Yixin Fang

Comments Published in JMLR (http://jmlr.org/papers/v14/)

Journal ref Journal of Machine Learning Research 2013, Vol. 14, 3419-3440

1304.4910 2013-12-03 stat.ML cs.AI cs.IT math.IT

A Junction Tree Framework for Undirected Graphical Model Selection

Divyanshu Vats, Robert Nowak

Comments This paper will appear in the Journal of Machine Learning Research (JMLR). See http://www.ima.umn.edu/~dvats/JunctionTreeUGMS.html for code

1310.8428 2013-11-19 cs.LG

Multilabel Classification through Random Graph Ensembles

Hongyu Su, Juho Rousu

Comments 15 Pages, 1 Figures

Journal ref JMLR: Workshop and Conference Proceedings 29:404--418, 2013

1110.4531 2013-11-05 stat.ML

Regression for sets of polynomial equations

Franz Johannes Király, Paul von Bünau, Jan Saputra Müller, Duncan Blythe, Frank Meinecke, Klaus-Robert Müller

Comments arXiv admin note: substantial text overlap with arXiv:1108.1483

Journal ref Journal of Machine Learning Research Workshop and Conference Proceedings Vol.22: Proceedings on the Fifteenth International Conference on Artificial Intelligence and Statistics, 22:628-637. 2012

1108.1483 2013-11-05 stat.ML

Algebraic Geometric Comparison of Probability Distributions

Franz J. Kiraly, Paul von Buenau, Frank C. Meinecke, Duncan A. J. Blythe, Klaus-Robert Mueller

Journal ref Journal of Machine Learning Research 13(Mar):855-903. 2012

1310.5082 2013-10-21 cs.CV cs.LG stat.ML

On the Suitable Domain for SVM Training in Image Coding

Gustavo Camps-Valls, Juan Gutiérrez, Gabriel Gómez-Pérez, Jesús Malo

Journal ref Journal of Machine Learning Research, JMLR, 9(1), 49-66, 2008