JMLR - arXivDaily 期刊&会议

1309.1233 2015-01-23 stat.ML

Noisy Sparse Subspace Clustering

Yu-Xiang Wang, Huan Xu

Comments Manuscript currently under review at journal of machine learning research. Previously conference version appeared at ICML'12, and was uploaded to ArXiv by the conference committee

1303.6938 2015-01-23 stat.ML

Expectation Propagation for Neural Networks with Sparsity-promoting Priors

Pasi Jylänki, Aapo Nummenmaa, Aki Vehtari

Journal ref Journal of Machine Learning Research, 15(May): 1849-1901, 2014

1501.05222 2015-01-22 cs.DS cs.LG

Plug-and-play dual-tree algorithm runtime analysis

Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram

Comments Submitted to JMLR

1303.5685 2015-01-20 stat.ML cs.LG math.OC stat.AP

Sparse Factor Analysis for Learning and Content Analytics

Andrew S. Lan, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk

Journal ref Journal of Machine Learning Research, vol. 15, pp. 1959-2008, June, 2014

1305.2436 2015-01-05 math.ST cs.IT math.IT stat.ML stat.TH

Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima

Po-Ling Loh, Martin J. Wainwright

Comments 58 pages, 13 figures. To appear in JMLR

1005.5603 2014-12-30 cs.LG cs.IT math.IT math.ST stat.TH

On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem

Daniil Ryabko

Comments Earlier conference version appeared as: "Sequence prediction in realizable and non-realizable cases," Conference on Learning Theory (2010) 119-131

Journal ref Journal of Machine Learning Research, vol. 12: 2161-2180, 2011

1412.6285 2014-12-22 cs.LG cs.AI stat.ML

From dependency to causality: a machine learning approach

Gianluca Bontempi, Maxime Flauder

Comments submitted to JMLR

1110.3204 2014-11-19 stat.ML

Bayesian Group Factor Analysis

Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski

Comments 9 pages, 5 figures

Journal ref Proceedings of the 15th AISTATS, JMLR W&CP 22: 1269-1277, 2012

1211.3589 2014-10-08 stat.ML

A Truncated EM Approach for Spike-and-Slab Sparse Coding

Abdul-Saboor Sheikh, Jacquelyn A. Shelton, Jörg Lücke

Comments To appear in JMLR (2014)

Journal ref Journal of Machine Learning Research, 15:2653-2687, 2014

1401.0604 2014-09-17 stat.CO stat.ML

Particle Gibbs with Ancestor Sampling

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

Journal ref Journal of Machine Learning Research, 15 (2014) 2145-2184

1207.0268 2014-08-13 cs.LG stat.ML

Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses

Shivani Agarwal

Comments 20 pages

Journal ref Journal of Machine Learning Research, 15:1653-1674, 2014

1408.0055 2014-08-04 stat.ML cs.LG stat.ME

Thurstonian Boltzmann Machines: Learning from Multiple Inequalities

Truyen Tran, Dinh Phung, Svetha Venkatesh

Comments Proceedings of the 30 th International Conference on Machine Learning, Atlanta, Georgia, USA, 2013. JMLR: W&CP volume 28

1408.0047 2014-08-04 stat.ML cs.IR cs.LG stat.AP stat.ME

Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis

Truyen Tran, Dinh Phung, Svetha Venkatesh

Comments JMLR: Workshop and Conference Proceedings 25:1-16, 2012; Asian Conference on Machine Learning

1408.0043 2014-08-04 cs.LG cs.IR stat.ML

Learning From Ordered Sets and Applications in Collaborative Ranking

Truyen Tran, Dinh Phung, Svetha Venkatesh

Comments JMLR: Workshop and Conference Proceedings 25:1-16, 2012, Asian Conference on Machine Learning

1210.7477 2014-07-25 stat.CO stat.ML

Parallel MCMC with Generalized Elliptical Slice Sampling

Robert Nishihara, Iain Murray, Ryan P. Adams

Comments 19 pages, 8 figures, 3 algorithms

Journal ref Journal of Machine Learning Research 15:2087-2112, 2014

1104.4803 2014-07-25 cs.LG stat.ML

Clustering Partially Observed Graphs via Convex Optimization

Yudong Chen, Ali Jalali, Sujay Sanghavi, Huan Xu

Comments This is the final version published in Journal of Machine Learning Research (JMLR). Partial results appeared in International Conference on Machine Learning (ICML) 2011

Journal ref Journal of Machine Learning Research, vol. 15, pp. 2213-2238, 2014

1308.3383 2014-07-23 cs.CV cs.LG stat.ML

Axioms for graph clustering quality functions

Twan van Laarhoven, Elena Marchiori

Comments 23 pages. Full text and sources available on: http://www.cs.ru.nl/~T.vanLaarhoven/graph-clustering-axioms-2014/

Journal ref Journal of Machine Learning Research, 15(Jan):193-215, 2014

1312.0286 2014-07-22 cs.LG stat.ML

Efficient Learning and Planning with Compressed Predictive States

William L. Hamilton, Mahdi Milani Fard, Joelle Pineau

Comments 45 pages, 10 figures, submitted to the Journal of Machine Learning Research

1403.0504 2014-07-11 cs.AI cs.PL stat.ML

A Compilation Target for Probabilistic Programming Languages

Brooks Paige, Frank Wood

Comments In Proceedings of the 31st International Conference on Machine Learning (ICML), 2014

Journal ref JMLR W&CP 32 (1) : 1935-1943, 2014

1406.0193 2014-07-01 stat.ML cs.LG q-bio.MN q-bio.QM stat.AP

Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks

Nikolai Slavov

Comments 8 pages, 5 figures

Journal ref JMLR W&CP 9:757-764, 2010

1406.0189 2014-07-01 stat.ML cs.LG q-bio.GN q-bio.QM stat.AP

Convex Total Least Squares

Dmitry Malioutov, Nikolai Slavov

Comments 9 pages, 4 figures

Journal ref JMLR W&CP 32 (1) :109-117, 2014

1310.4375 2014-06-18 stat.ML

Fast Computation of Wasserstein Barycenters

Marco Cuturi, Arnaud Doucet

Comments 9 pages, 4 figures

Journal ref Proceedings of the 31st International Conference on Machine Learning, JMLR W&CP 32 (2) 2014

1307.5302 2014-06-16 stat.ML cs.LG

Kernel Adaptive Metropolis-Hastings

Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton

Comments Proceedings of the 31st International Conference on Machine Learning, Beijing, China, 2014; JMLR: W&CP volume 32(2)

1406.1528 2014-06-09 cs.CV astro-ph.IM

Towards building a Crowd-Sourced Sky Map

Dustin Lang, David W. Hogg, Bernhard Scholkopf

Comments Appeared at AI-STATS 2014

Journal ref JMLR Workshop and Conference Proceedings, 33 (AI & Statistics 2014), 549

1401.8257 2014-06-09 cs.LG stat.ML

Online Clustering of Bandits

Claudio Gentile, Shuai Li, Giovanni Zappella

Comments In E. Xing and T. Jebara (Eds.), Proceedings of 31st International Conference on Machine Learning, Journal of Machine Learning Research Workshop and Conference Proceedings, Vol.32 (JMLR W&CP-32), Beijing, China, Jun. 21-26, 2014 (ICML 2014), Submitted by Shuai Li (https://sites.google.com/site/shuailidotsli)

1402.5640 2014-06-03 stat.ME

Joint Structure Learning of Multiple Non-Exchangeable Networks

Chris J. Oates, Sach Mukherjee

Comments To appear in Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS)

Journal ref JMLR W&CP 33 :687-695, 2014

1401.4082 2014-06-02 stat.ML cs.AI cs.LG stat.CO stat.ME

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra

Comments Appears In Proceedings of the 31st International Conference on Machine Learning (ICML), JMLR: W\&CP volume 32, 2014

1210.2022 2014-06-02 stat.AP stat.ML

Locally adaptive factor processes for multivariate time series

Daniele Durante, Bruno Scarpa, David B. Dunson

Journal ref Journal of Machine Learning Research (2014), 15: 1493-1522. http://jmlr.org/papers/v15/durante14a.html

1310.6319 2014-05-30 stat.ML

Efficient State-Space Inference of Periodic Latent Force Models

Steven Reece, Stephen Roberts, Siddhartha Ghosh, Alex Rogers, Nicholas Jennings

Comments 61 pages, 13 figures, accepted for publication in JMLR. Updates from earlier version occur throughout article in response to JMLR reviews

1302.4385 2014-05-27 stat.ML math.OC

Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization

Nicolas Gillis, Robert Luce

Comments 27 page; 4 figures. New Example, new experiment on the Swimmer data set

Journal ref Journal of Machine Learning Research 15 (Apr), pp. 1249-1280, 2014