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Publication search results
found 118 matches
- 2015
- Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura:
A classification module for genetic programming algorithms in JCLEC. J. Mach. Learn. Res. 16: 491-494 (2015) - Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar:
An asynchronous parallel stochastic coordinate descent algorithm. J. Mach. Learn. Res. 16: 285-322 (2015) - Louigi Addario-Berry, Shankar Bhamidi, Sébastien Bubeck, Luc Devroye, Gábor Lugosi, Roberto Imbuzeiro Oliveira:
Exceptional rotations of random graphs: a VC theory. J. Mach. Learn. Res. 16: 1893-1922 (2015) - Nir Ailon, Yudong Chen, Huan Xu:
Iterative and active graph clustering using trace norm minimization without cluster size constraints. J. Mach. Learn. Res. 16: 455-490 (2015) - Animashree Anandkumar, Daniel J. Hsu, Majid Janzamin, Sham M. Kakade:
When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity. J. Mach. Learn. Res. 16: 2643-2694 (2015) - Bryon Aragam, Qing Zhou:
Concave penalized estimation of sparse Gaussian Bayesian networks. J. Mach. Learn. Res. 16: 2273-2328 (2015) - Álvaro Barbero Jiménez, Akiko Takeda, Jorge López Lázaro:
Geometric intuition and algorithms for Ev-SVM. J. Mach. Learn. Res. 16: 323-369 (2015) - Sumanta Basu, Ali Shojaie, George Michailidis:
Network granger causality with inherent grouping structure. J. Mach. Learn. Res. 16: 417-453 (2015) - Pierre C. Bellec, Alexandre B. Tsybakov:
Sharp oracle bounds for monotone and convex regression through aggregation. J. Mach. Learn. Res. 16: 1879-1892 (2015) - Daniel Berend, Aryeh Kontorovich:
A finite sample analysis of the Naive Bayes classifier. J. Mach. Learn. Res. 16: 1519-1545 (2015) - Andrey Bernstein, Nahum Shimkin:
Response-based approachability with applications to generalized no-regret problems. J. Mach. Learn. Res. 16: 747-773 (2015) - Gianluca Bontempi, Maxime Flauder:
From dependency to causality: a machine learning approach. J. Mach. Learn. Res. 16: 2437-2457 (2015) - Peter Bubenik:
Statistical topological data analysis using persistence landscapes. J. Mach. Learn. Res. 16: 77-102 (2015) - Alexandra Carpentier, Rémi Munos, András Antos:
Adaptive strategy for stratified Monte Carlo sampling. J. Mach. Learn. Res. 16: 2231-2271 (2015) - Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel:
Convergence rates for persistence diagram estimation in topological data analysis. J. Mach. Learn. Res. 16: 3603-3635 (2015) - Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel A. Ward:
Completing any low-rank matrix, provably. J. Mach. Learn. Res. 16: 2999-3034 (2015) - Xi Chen, Qihang Lin, Dengyong Zhou:
Statistical decision making for optimal budget allocation in crowd labeling. J. Mach. Learn. Res. 16: 1-46 (2015) - Minmin Chen, Kilian Q. Weinberger, Zhixiang Eddie Xu, Fei Sha:
Marginalizing stacked linear denoising autoencoders. J. Mach. Learn. Res. 16: 3849-3875 (2015) - John P. Cunningham, Zoubin Ghahramani:
Linear dimensionality reduction: survey, insights, and generalizations. J. Mach. Learn. Res. 16: 2859-2900 (2015) - Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram:
Plug-and-play dual-tree algorithm runtime analysis. J. Mach. Learn. Res. 16: 3269-3297 (2015) - Amit Daniely, Sivan Sabato, Shai Ben-David, Shai Shalev-Shwartz:
Multiclass learnability and the ERM principle. J. Mach. Learn. Res. 16: 2377-2404 (2015) - Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar:
Eigenwords: spectral word embeddings. J. Mach. Learn. Res. 16: 3035-3078 (2015) - Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson:
Fast rates in statistical and online learning. J. Mach. Learn. Res. 16: 1793-1861 (2015) - John Fearnley, Martin Gairing, Paul W. Goldberg, Rahul Savani:
Learning equilibria of games via payoff queries. J. Mach. Learn. Res. 16: 1305-1344 (2015) - Vitaly Feldman, Pravesh Kothari:
Agnostic learning of disjunctions on symmetric distributions. J. Mach. Learn. Res. 16: 3455-3467 (2015) - Yunlong Feng, Xiaolin Huang, Lei Shi, Yuning Yang, Johan A. K. Suykens:
Learning with the maximum correntropy criterion induced losses for regression. J. Mach. Learn. Res. 16: 993-1034 (2015) - Emily B. Fox, David B. Dunson:
Bayesian nonparametric covariance regression. J. Mach. Learn. Res. 16: 2501-2542 (2015) - Alex Gammerman, Vladimir Vovk:
Preface to this special issue. J. Mach. Learn. Res. 16: 1677-1681 (2015) - Alex Gammerman, Vladimir Vovk:
Alexey Chervonenkis's bibliography: introductory comments. J. Mach. Learn. Res. 16: 2051-2066 (2015) - Alex Gammerman, Vladimir Vovk:
Alexey Chervonenkis's bibliography. J. Mach. Learn. Res. 16: 2067-2080 (2015)
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