JMLR

Fast MCMC sampling algorithms on polytopes

Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu

Comments 86 pages, 9 figures, First two authors contributed equally

Journal ref The Journal of Machine Learning Research, 19(1), 2146-2231 (2019)

DALEX: explainers for complex predictive models

Przemyslaw Biecek

Comments 12 pages

Journal ref Journal of Machine Learning Research 19 (2018) 1-5

Automated Scalable Bayesian Inference via Hilbert Coresets

Trevor Campbell, Tamara Broderick

Journal ref Journal of Machine Learning Research 20(15):1-38, 2019

Transport Analysis of Infinitely Deep Neural Network

Sho Sonoda, Noboru Murata

Journal ref Journal of Machine Learning Research 20(2):1-52, 2019

Robust Frequent Directions with Application in Online Learning

Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang

Comments Journal of Machine Learning Research 2019, Accepted

Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations

Alberto Bietti, Julien Mairal

Journal ref Journal of Machine Learning Research 20 (2019) 1-49

Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds

Shusen Wang, Alex Gittens, Michael W. Mahoney

Journal ref Journal of Machine Learning Research 20 (2019) 1-49

Gradient Descent Learns Linear Dynamical Systems

Moritz Hardt, Tengyu Ma, Benjamin Recht

Comments updated with more experimental results and references to prior work; published in JMLR 2018

Distances between Data Sets Based on Summary Statistics

Nikolaj Tatti

Journal ref JMLR 8, 2007, 131-154

Seglearn: A Python Package for Learning Sequences and Time Series

David M. Burns, Cari M. Whyne

Journal ref Journal of Machine Learning Research 19 (2018) 1-7

Dependent relevance determination for smooth and structured sparse regression

Anqi Wu, Oluwasanmi Koyejo, Jonathan W. Pillow

Comments 42 pages, 15 figures, submitted to JMLR

Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics

Stéphan Clémençon, Aurélien Bellet, Igor Colin

Comments To appear in Journal of Machine Learning Research. 34 pages. v2: minor correction to Theorem 4 and its proof, added 1 reference. v3: typo corrected in Proposition 3. v4: improved presentation, added experiments on model selection for clustering, fixed minor typos

Journal ref Journal of Machine Learning Research 17(76):1-36, 2016

Inference via low-dimensional couplings

Alessio Spantini, Daniele Bigoni, Youssef Marzouk

Comments 78 pages, 25 figures

Journal ref Journal of Machine Learning Research, volume 19 (66): 1-71, 2018

Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle

Marco Scutari

Comments 20 pages, 4 figures; extended version submitted to Behaviormetrika

Journal ref Journal of Machine Learning Research (73, Proceedings Track, AMBN 2017), 8-20; extended version in Behaviormetrika, 45(2), 337-362

Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method

Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Lenka Zdeborová

Comments Submitted to Journal of Machine Learning Research (JMLR)

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Adriano Pastore, Michael Gastpar

Comments 47 pages, under revision at JMLR

On Generalized Bellman Equations and Temporal-Difference Learning

Huizhen Yu, A. Rupam Mahmood, Richard S. Sutton

Comments Minor revision; 41 pages; to appear in Journal on Machine Learning Research, 2018

Journal ref Journal of Machine Learning Research 19(48):1-49, 2018

Interactive algorithms: from pool to stream

Sivan Sabato, Tom Hess

Comments Appearing in COLT 2016

Journal ref S. Sabato and T. Hess, "Interactive Algorithms: from Pool to Stream", Proceedings of the 29th Annual Conference on Learning Theory (COLT), JMLR Workshop and Conference Proceedings 49:1419-1439, 2016

RSG: Beating Subgradient Method without Smoothness and Strong Convexity

Tianbao Yang, Qihang Lin

Comments Final version accepted by JMLR

Active Nearest-Neighbor Learning in Metric Spaces

Aryeh Kontorovich, Sivan Sabato, Ruth Urner

Journal ref A. Kontorovich, S. Sabato, R. Urner, "Active Nearest-Neighbor Learning in Metric Spaces", Journal of Machine Learning Research, 18(195):1--38, 2018

Random Forests, Decision Trees, and Categorical Predictors: The "Absent Levels" Problem

Timothy C. Au

Comments Updated to the published version that appears at http://www.jmlr.org/papers/volume19/16-474/16-474.pdf

Journal ref Journal of Machine Learning Research 19(45):1-30, 2018

Localizing the Latent Structure Canonical Uncertainty: Entropy Profiles for Hidden Markov Models

Jean-Baptiste Durand, Y. Guédon

Comments Submitted to Journal of Machine Learning Research; No RR-7896 (2012)

Journal ref Stat. Comput. (2016), 26(1-2):549-567

Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape Analysis

Joao Reis, Gil Gonçalves

Comments 36 pages, 4 figures, 2 tables, submitted to JMLR

Pyro: Deep Universal Probabilistic Programming

Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul Szerlip, Paul Horsfall, Noah D. Goodman

Comments Submitted to JMLR MLOSS track

ELFI: Engine for Likelihood-Free Inference

Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skytén, Marko Järvenpää, Pekka Marttinen, Michael U. Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski

Journal ref Journal of Machine Learning Research, 19(16):1-7, 2018. http://jmlr.org/papers/v19/17-374.html

Katyusha: The First Direct Acceleration of Stochastic Gradient Methods

Zeyuan Allen-Zhu

Comments Version 6. Appeared in Symposium on Theory of Computing (STOC 2017) and Journal of Machine Learning Research (JMLR 2018)

Invariant Models for Causal Transfer Learning

Mateo Rojas-Carulla, Bernhard Schölkopf, Richard Turner, Jonas Peters

Journal ref Journal of Machine Learning Research. 19 (2018)

The xyz algorithm for fast interaction search in high-dimensional data

Gian-Andrea Thanei, Nicolai Meinshausen, Rajen D. Shah

Journal ref JMLR. Journal of Machine Learning Research. The xyz algorithm for fast interaction search in high-dimensional data. Gian-Andrea Thanei, Nicolai Meinshausen, Rajen D. Shah. 19.37.1.42. 2018

Bayesian Learning of Dynamic Multilayer Networks

Daniele Durante, Nabanita Mukherjee, Rebecca C. Steorts

Journal ref Journal of Machine Learning Research (2017). 18, 1-29

A Direct Approach for Sparse Quadratic Discriminant Analysis

Binyan Jiang, Xiangyu Wang, Chenlei Leng

Comments Updated to the JMLR format