JMLR - arXivDaily 期刊&会议

2006.02682 2021-06-21 cs.LG stat.ML

Some Theoretical Insights into Wasserstein GANs

Gérard Biau, Maxime Sangnier, Ugo Tanielian

Journal ref Journal of Machine Learning Research, Microtome Publishing, 2021

1909.05350 2021-06-17 cs.LG cs.DC math.OC stat.ML

The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Sebastian U. Stich, Sai Praneeth Karimireddy

Comments Submitted 9/19, Published 9/20

Journal ref Journal of Machine Learning Research (JMLR), 21(237):1-36, 2020

1907.12207 2021-06-17 stat.ML cs.LG

LassoNet: A Neural Network with Feature Sparsity

Ismael Lemhadri, Feng Ruan, Louis Abraham, Robert Tibshirani

Comments 18 pages, 10 fg. arXiv admin note: text overlap with arXiv:1901.09346 by other authors

Journal ref Journal of Machine Learning Research 22 (2021) 1-29

2005.08898 2021-06-16 cs.LG cs.IT eess.SP math.IT math.OC stat.ML

Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent

Tian Tong, Cong Ma, Yuejie Chi

Comments Accepted to Journal of Machine Learning Research

1606.03474 2021-06-10 cs.LG

Learning overcomplete, low coherence dictionaries with linear inference

Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer

Comments 27 pages, 11 figures

Journal ref JMLR 20(174) 1-42 (2019)

2001.06471 2021-06-08 stat.ML cs.LG math.OC stat.CO

Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives

Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder

Comments To appear in JMLR

1802.04064 2021-06-08 stat.ML cs.LG

A Contextual Bandit Bake-off

Alberto Bietti, Alekh Agarwal, John Langford

Comments JMLR

1608.01364 2021-06-07 math.ST stat.TH

Adaptive Estimation of Nonparametric Functionals

Lin Liu, Rajarshi Mukherjee, James Robins, Eric Tchetgen Tchetgen

Comments 61 pages, polished writing and added some discussion on numerical issues of wavelets and potential connections to deep neural networks

Journal ref Journal of Machine Learning Research, 2021, 22

2008.03820 2021-06-01 stat.ML cs.LG cs.SI math.ST stat.TH

Spectral Algorithms for Community Detection in Directed Networks

Zhe Wang, Yingbin Liang, Pengsheng Ji

Comments Journal of Machine Learning Research 2020, to appear

Journal ref Journal of Machine Learning Research 2020. (153):1-45,

2006.08855 2021-06-01 stat.ML cs.LG math.ST stat.CO stat.ME stat.TH

RaSE: Random Subspace Ensemble Classification

Ye Tian, Yang Feng

Comments 93 pages, 13 figures

Journal ref Journal of Machine Learning Research 22, no. 45 (2021): 1-93

1906.04285 2021-06-01 cs.LG cs.NA math.NA stat.ML

Continuous Time Analysis of Momentum Methods

Nikola B. Kovachki, Andrew M. Stuart

Comments 40 pages, 7 figures

Journal ref Journal of Machine Learning Research 21 (2020) 1-40

1806.01993 2021-05-31 stat.ML cs.LG

Beyond Trees: Classification with Sparse Pairwise Dependencies

Yaniv Tenzer, Amit Moscovich, Mary Frances Dorn, Boaz Nadler, Clifford Spiegelman

Comments 32 pages, 12 figures, 3 tables. Major revision with new feature-selection step and more extensive simulations

Journal ref Journal of Machine Learning Research 21:189 (2020) 1-33

1909.08787 2021-05-26 stat.ML cs.LG

On Efficient Multilevel Clustering via Wasserstein Distances

Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, and Dinh Phung

Comments 32 pages, 8 figures, JMLR submission. arXiv admin note: substantial text overlap with arXiv:1706.03883

1908.06077 2021-05-24 cs.LG stat.ML

NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization

Ali Ramezani-Kebrya, Fartash Faghri, Ilya Markov, Vitalii Aksenov, Dan Alistarh, Daniel M. Roy

Comments 42 pages, 21 figures. To appear in the Journal of Machine Learning Research (JMLR)

2105.09107 2021-05-20 stat.ML cs.LG cs.MS

Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data

Simon Mandlik, Matej Racinsky, Viliam Lisy, Tomas Pevny

Comments 5 pages, 2 figures, 1 table, submitted to section on one-source software of Journal of Machine Learning Research

2105.08678 2021-05-19 stat.ML cs.LG cs.SI math.ST stat.TH

Nonparametric Modeling of Higher-Order Interactions via Hypergraphons

Krishnakumar Balasubramanian

Comments To appear in Journal of Machine Learning Research

2001.10818 2021-05-19 math.ST cs.LG cs.NA math.NA stat.ML stat.TH

Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness

George Wynne, François-Xavier Briol, Mark Girolami

Comments Accepted to JMLR

1809.00082 2021-05-11 stat.ML cs.LG cs.NA math.NA math.PR q-fin.CP

NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation

Anastasis Kratsios, Cody Hyndman

Comments 28 pages: main body, 24 pages: appendix, 8 Figures, 11 Tables

Journal ref Journal of Machine Learning Research (JMLR), Volume: 22; 2021

2003.13126 2021-04-30 math.ST stat.TH

Testing Conditional Independence via Quantile Regression Based Partial Copulas

Lasse Petersen, Niels Richard Hansen

Journal ref Journal of Machine Learning Research 22(70):1-47, 2021

2009.11359 2021-04-28 math.OC cs.LG stat.ML

A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints

Guodong Zhang, Xuchan Bao, Laurent Lessard, Roger Grosse

Comments Journal of Machine Learning Research

2010.00636 2021-04-22 cs.LG math.ST stat.ML stat.TH

Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces

László Györfi, Roi Weiss

Comments To appear in JMLR

2104.08633 2021-04-20 cs.CV cs.AI cs.LG

Automated Mathematical Equation Structure Discovery for Visual Analysis

Caroline Pacheco do Espírito Silva, José A. M. Felippe De Souza, Antoine Vacavant, Thierry Bouwmans, Andrews Cordolino Sobral

Comments 25 pages, 8 figures, submitted to JMLR

1806.01811 2021-04-20 stat.ML cs.LG

AdaGrad stepsizes: Sharp convergence over nonconvex landscapes

Rachel Ward, Xiaoxia Wu, Leon Bottou

Journal ref journal = {Journal of Machine Learning Research}, year = {2020}, volume = {21}, number = {219}, pages = {1-30}, url = {http://jmlr.org/papers/v21/18-352.html}

2104.06718 2021-04-15 cs.LG cs.LO stat.ML

Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition

Alessandro De Palma, Rudy Bunel, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar

Comments Submitted for review to JMLR. This is an extended version of our paper in the UAI-20 conference (arXiv:2002.10410)

2006.15191 2021-04-13 cs.LG stat.ML

Is SGD a Bayesian sampler? Well, almost

Chris Mingard, Guillermo Valle-Pérez, Joar Skalse, Ard A. Louis

Journal ref Journal of Machine Learning Research, 22 79 (2021), 1-64

1912.03905 2021-04-13 cs.LG cs.AI stat.ML

ChainerRL: A Deep Reinforcement Learning Library

Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka, Takahiro Ishikawa

Comments Journal of Machine Learning Research

Journal ref Journal of Machine Learning Research 22(77) (2021) 1-14;

1708.02469 2021-04-13 cs.LG

Multiscale Strategies for Computing Optimal Transport

Samuel Gerber, Mauro Maggioni

Comments Accepted to JMLR

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

2004.11127 2021-04-10 cs.LG

Kernel Operations on the GPU, with Autodiff, without Memory Overflows

Benjamin Charlier, Jean Feydy, Joan Alexis Glaunès, François-David Collin, Ghislain Durif

Comments 6 pages

Journal ref Journal of Machine Learning Research 22, 1-6 (2021). https://jmlr.org/papers/v22/20-275.html

1912.02762 2021-04-09 stat.ML cs.LG

Normalizing Flows for Probabilistic Modeling and Inference

George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan

Comments Review article, 64 pages, 9 figures. Published in the Journal of Machine Learning Research (see https://jmlr.org/papers/v22/19-1028.html)

Journal ref Journal of Machine Learning Research, 22(57):1-64, 2021

1406.7865 2021-03-11 stat.ML cs.CE cs.LG

Simple connectome inference from partial correlation statistics in calcium imaging

Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts

Journal ref JMLR: Workshop and Conference Proceedings 46:23-35, 2015