JMLR - arXivDaily 期刊&会议

1208.4818 2013-10-21 stat.CO

Fast MCMC sampling for Markov jump processes and extensions

Vinayak Rao, Yee Whye Teh

Comments Accepted at the Journal of Machine Learning Research (JMLR)

1301.0104 2013-10-15 cs.LG stat.ML

Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes

Aviv Tamar, Dotan Di Castro, Shie Mannor

Journal ref JMLR Workshop and Conference Proceedings 28 (3): 495-503, 2013

1209.4129 2013-10-14 stat.ML cs.LG stat.CO

Comunication-Efficient Algorithms for Statistical Optimization

Yuchen Zhang, John C. Duchi, Martin Wainwright

Comments 44 pages, to appear in Journal of Machine Learning Research (JMLR)

1003.0747 2013-10-04 math.ST physics.data-an q-bio.QM stat.AP stat.ME stat.TH

Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators

Pierre Neuvial

Journal ref Journal of Machine Learning Research 14 (2013) 1423-1459

1211.1328 2013-10-01 stat.ML cond-mat.dis-nn cond-mat.stat-mech cs.LG

Random walk kernels and learning curves for Gaussian process regression on random graphs

Matthew Urry, Peter Sollich

Journal ref JMLR(14):1801-1835 2013

1302.4389 2013-09-23 stat.ML cs.LG

Maxout Networks

Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, Yoshua Bengio

Comments This is the version of the paper that appears in ICML 2013

Journal ref JMLR WCP 28 (3): 1319-1327, 2013

1211.2972 2013-09-20 cs.AI

Segregating event streams and noise with a Markov renewal process model

Dan Stowell, Mark D. Plumbley

Journal ref Journal of Machine Learning Research, 14(Aug):2213-2238, 2013

1204.4539 2013-09-20 stat.ML cs.LG math.OC

Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows

Julien Mairal, Bin Yu

Comments 37 pages; to appear in the Journal of Machine Learning Research (JMLR)

Journal ref Journal of Machine Learning Research 14(Aug) (2013) 2449-2485

1204.1276 2013-09-19 stat.ML cs.LG

Distribution-Dependent Sample Complexity of Large Margin Learning

Sivan Sabato, Nathan Srebro, Naftali Tishby

Comments arXiv admin note: text overlap with arXiv:1011.5053

Journal ref S. Sabato, N. Srebro and N. Tishby, "Distribution-Dependent Sample Complexity of Large Margin Learning", Journal of Machine Learning Research, 14(Jul):2119-2149, 2013

1303.0561 2013-08-26 stat.ML cs.LG

Top-down particle filtering for Bayesian decision trees

Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh

Comments ICML 2013

Journal ref JMLR W&CP 28(3):280-288, 2013

1308.3750 2013-08-20 cs.LG

Comment on "robustness and regularization of support vector machines" by H. Xu, et al., (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009, arXiv:0803.3490)

Yahya Forghani, Hadi Sadoghi Yazdi

Comments 2 pages. This paper has been accepted with minor revision in journal of machine learning research (JMLR)

1308.3506 2013-08-19 cs.GT cs.LG stat.ML

Computational Rationalization: The Inverse Equilibrium Problem

Kevin Waugh, Brian D. Ziebart, J. Andrew Bagnell

Comments In submission to JMLR, conference version: arXiv:1103.5254

1207.2812 2013-08-09 stat.ML cs.CR cs.LG

Near-Optimal Algorithms for Differentially-Private Principal Components

Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha

Comments 37 pages, 8 figures; final version to appear in the Journal of Machine Learning Research, preliminary version was at NIPS 2012

1202.1568 2013-08-09 cs.CL

Beyond Sentiment: The Manifold of Human Emotions

Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan Essa

Comments 15 pages, 7 figures

Journal ref Proceedings of the 16 International Conference on Artificial Intelligence and Statistics (AISTATS) 2013, Scottsdale, AZ, USA. Volume 31 of JMLR: W&CP 31

1304.3285 2013-07-25 stat.ML cs.LG

Scaling the Indian Buffet Process via Submodular Maximization

Colorado Reed, Zoubin Ghahramani

Comments 13 pages, 8 figures

Journal ref In ICML 2013: JMLR W&CP 28 (3): 1013-1021, 2013

1301.4083 2013-07-16 cs.LG cs.CV cs.NE stat.ML

Knowledge Matters: Importance of Prior Information for Optimization

Çağlar Gülçehre, Yoshua Bengio

Comments 37 Pages, 5 figures, 5 tables JMLR Special Topics on Representation Learning Submission

1101.3229 2013-06-18 math.ST stat.TH

Sparse single-index model

Pierre Alquier, Gérard Biau

Journal ref Journal of Machine Learning Research 14 (2013) 243-280

1306.0256 2013-06-04 math.ST stat.TH

Distributions of Angles in Random Packing on Spheres

Tony Cai, Jianqing Fan, Tiefeng Jiang

Comments Published in Journal of Machine Learning Research; 2013

1105.0875 2013-06-03 stat.ML

A Risk Comparison of Ordinary Least Squares vs Ridge Regression

Paramveer S. Dhillon, Dean P. Foster, Sham M. Kakade, Lyle H. Ungar

Comments Appearing in JMLR 14, June 2013

1305.2505 2013-05-14 cs.LG stat.ML

On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions

Purushottam Kar, Bharath K Sriperumbudur, Prateek Jain, Harish C Karnick

Comments To appear in proceedings of the 30th International Conference on Machine Learning (ICML 2013)

Journal ref Journal of Machine Learning Research, W&CP 28(3) (2013)

1305.2362 2013-05-13 cs.CV cs.LG stat.ML

Revisiting Bayesian Blind Deconvolution

David Wipf, Haichao Zhang

Comments This paper has been submitted to JMLR. A conference version will appear at EMMCVPR 2013

1101.1057 2013-04-17 stat.ML cs.LG math.ST stat.TH

Sparsity regret bounds for individual sequences in online linear regression

Sébastien Gerchinovitz

Comments Published in Journal of Machine Learning Research at http://www.jmlr.org/papers/volume14/gerchinovitz13a/gerchinovitz13a.pdf

Journal ref Journal of Machine Learning Research 14 (2011) 729-769

0912.5507 2013-04-09 stat.ML stat.ME

MedLDA: A General Framework of Maximum Margin Supervised Topic Models

Jun Zhu, Amr Ahmed, Eric P. Xing

Comments 27 Pages

Journal ref Journal of Machine Learning Research, 13(Aug): 2237--2278, 2012

1105.2879 2013-03-29 math.ST stat.TH

Stochastic Bandit Based on Empirical Moments

Junya Honda, Akimichi Takemura

Journal ref JMLR Workshop and Conference Proceedings, Volume 22: AISTATS 2012, 529-537. 2012

1207.3649 2013-03-28 stat.ML

Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood

Jaakko Riihimäki, Pasi Jylänki, Aki Vehtari

Journal ref Journal of Machine Learning Research 14 (2013) 75-109

1302.2553 2013-03-19 cs.LG

Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning

Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko

Journal ref In Proceedings of ICML, JMLR W&CP 28(1):543-551, 2013

1208.0848 2013-02-26 cs.LG stat.ML

Learning Theory Approach to Minimum Error Entropy Criterion

Ting Hu, Jun Fan, Qiang Wu, Ding-Xuan Zhou

Journal ref JMLR 2013

1101.3501 2013-02-19 stat.ML math.OC math.ST stat.TH

Convergence rates of efficient global optimization algorithms

Adam D. Bull

Journal ref Journal of Machine Learning Research 12:2879-2904, 2011

1212.3850 2012-12-18 cs.IT cs.LG math.IT stat.ML

Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees

Nima Noorshams, Martin J. Wainwright

Comments Portions of the results were presented at the International Symposium on Information Theory 2012. The results were also submitted to the Journal of Machine Learning Research on December 16th 2012

1109.3843 2012-12-06 cs.DS cs.DM cs.LG

Fast approximation of matrix coherence and statistical leverage

Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney, David P. Woodruff

Comments 29 pages; conference version is in ICML; journal version is in JMLR