JMLR

Faithfulness of Probability Distributions and Graphs

Kayvan Sadeghi

Comments 29 pages, 3 figures

Journal ref Journal of Machine Learning Research, 18(148), 1--29, 2017

Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data

Yining Wang, Aarti Singh

Comments 42 pages. Accepted to Journal of Machine Learning Research

Stochastic Gradient Descent as Approximate Bayesian Inference

Stephan Mandt, Matthew D. Hoffman, David M. Blei

Comments 35 pages, published version (JMLR 2017)

Journal ref Journal of Machine Learning Research 18 (2017) 1-35

Bayesian inference for spatio-temporal spike-and-slab priors

Michael Riis Andersen, Aki Vehtari, Ole Winther, Lars Kai Hansen

Comments 58 pages, 17 figures

Journal ref Journal of Machine Learning Research, 18(139):1-58, 2017

Simultaneous Clustering and Estimation of Heterogeneous Graphical Models

Botao Hao, Will Wei Sun, Yufeng Liu, Guang Cheng

Comments 61 pages. Accepted by Journal of Machine Learning Research

Extrapolating Expected Accuracies for Large Multi-Class Problems

Charles Zheng, Rakesh Achanta, Yuval Benjamini

Comments Submitted to JMLR

On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models

Yining Wang, Adams Wei Yu, Aarti Singh

Comments 41 pages. Accepted for publication in Journal of Machine Learning Research

Confidence sets with expected sizes for Multiclass Classification

Christophe Denis, Mohamed Hebiri

Journal ref Journal of Machine Learning Research, Journal of Machine Learning Research, 2017

Minimax Filter: Learning to Preserve Privacy from Inference Attacks

Jihun Hamm

Comments Revision 2: minor revision

Journal ref Journal of Machine Learning Research 18 (2017) 1-31

Second-Order Stochastic Optimization for Machine Learning in Linear Time

Naman Agarwal, Brian Bullins, Elad Hazan

Journal ref Journal of Machine Learning Research 18(116) (2017) 1-40

Providing theoretical learning guarantees to Deep Learning Networks

Rodrigo Fernandes de Mello, Martha Dais Ferreira, Moacir Antonelli Ponti

Comments Submitted to JMLR

Knowledge Graph Completion via Complex Tensor Factorization

Théo Trouillon, Christopher R. Dance, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard

Comments 38 pages, accepted in JMLR. This is an extended version of the article "Complex embeddings for simple link prediction" (ICML 2016)

STORE: Sparse Tensor Response Regression and Neuroimaging Analysis

Will Wei Sun, Lexin Li

Comments 42 pages. To appear in Journal of Machine Learning Research

Optimal dictionary for least squares representation

Mohammed Rayyan Sheriff, Debasish Chatterjee

Comments 24 pages

Journal ref Journal of Machine Learning Research, Vol. 18, Paper No. 107, pp. 1-28, 2017

Hinge-Loss Markov Random Fields and Probabilistic Soft Logic

Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor

Journal ref Journal of Machine Learning Research (JMLR), 18(109):1-67, 2017

Community extraction in multilayer networks with heterogeneous community structure

James D. Wilson, John Palowitch, Shankar Bhamidi, Andrew B. Nobel

Comments 46 pages. Accepted at the Journal of Machine Learning Research (11/17)

Rank Determination for Low-Rank Data Completion

Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal

Journal ref Journal of Machine Learning Research, 18(98), pp. 1-29, Sept 2017

Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks

Shannon Fenn, Pablo Moscato

Comments Accepted for publication in JMLR issue 18

Bayesian Network Learning via Topological Order

Young Woong Park, Diego Klabjan

Journal ref Journal of Machine Learning Research 18(99) 1-32, 2017

Transform-Invariant Non-Parametric Clustering of Covariance Matrices and its Application to Unsupervised Joint Segmentation and Action Discovery

Nadia Figueroa, Aude Billard

Comments 51 pages, 20 figures. Submitted to Journal of Machine Learning Research, currently under review

Learning Scalable Deep Kernels with Recurrent Structure

Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing

Comments 37 pages, 7 figures, 5 tables. Updated to the final version that appears in JMLR, 18(82):1-37, 2017

Journal ref Journal of Machine Learning Research (JMLR), JMLR 18(82):1-37, 2017

The Impact of Random Models on Clustering Similarity

Alexander J Gates, Yong-Yeol Ahn

Comments 28 pages, 5 figures

Journal ref Journal of Machine Learning Research 18 (2017) 87,1-28

Learning Texture Manifolds with the Periodic Spatial GAN

Urs Bergmann, Nikolay Jetchev, Roland Vollgraf

Comments Proceedings of the 34th International Conference on Machine Learning, Sydney, Australia, 2017. JMLR: W&CP. Copyright 2017 by the author(s)

Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server

Leonard Hasenclever, Stefan Webb, Thibaut Lienart, Sebastian Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh

Comments 37 pages, 7 figures

Journal ref Journal of Machine Learning Research 18 (2017) 1-37

Hierarchically Compositional Kernels for Scalable Nonparametric Learning

Jie Chen, Haim Avron, Vikas Sindhwani

Comments Journal of Machine Learning Research, vol 18, 2017

Predictive Hierarchical Clustering: Learning clusters of CPT codes for improving surgical outcomes

Elizabeth C. Lorenzi, Stephanie L. Brown, Zhifei Sun, Katherine Heller

Comments Accepted at MLHC 2017 to appear in JMLR

Lens depth function and k-relative neighborhood graph: versatile tools for ordinal data analysis

Matthäus Kleindessner, Ulrike von Luxburg

Journal ref Journal of Machine Learning Research 18(58):1-52, 2017

Computational Limits of A Distributed Algorithm For Smoothing Spline

Zuofeng Shang, Guang Cheng

Comments To Appear in Journal of Machine Learning Research

On the Consistency of Ordinal Regression Methods

Fabian Pedregosa, Francis Bach, Alexandre Gramfort

Comments Journal of Machine Learning Research 18 (2017)

Journal ref Journal of Machine Learning Research 18 (2017) 1-35

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Zhengyao Jiang, Dixing Xu, Jinjun Liang

Comments 30 pages, 5 figures, submitting to JMLR