JMLR - arXivDaily 期刊&会议

2004.02551 2021-03-09 cs.LG math.AT stat.ML

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

Guillaume Tauzin, Umberto Lupo, Lewis Tunstall, Julian Burella Pérez, Matteo Caorsi, Wojciech Reise, Anibal Medina-Mardones, Alberto Dassatti, Kathryn Hess

Comments 7 pages, 2 figures

Journal ref NeurIPS 2020 workshop "Topological Data Analysis and beyond" (https://openreview.net/forum?id=fjQtZJOCTXf); JMLR 22 (https://www.jmlr.org/papers/v22/20-325.html)

1904.00479 2021-03-08 stat.ML cs.LG

Sparse Tensor Additive Regression

Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun

Comments Accepted by Journal of Machine Learning Research

1912.07435 2021-03-04 stat.ML cs.LG

A Unified Framework for Random Forest Prediction Error Estimation

Benjamin Lu, Johanna Hardin

Comments 41 pages, 8 figures, 6 tables

Journal ref Journal of Machine Learning Research, 22(8):1-41, 2021

2011.01217 2021-03-02 cs.LG math.PR

Prediction against a limited adversary

Erhan Bayraktar, Ibrahim Ekren, Xin Zhang

Comments To appear in Journal of Machine Learning Research (JMLR). Keywords: machine learning, expert advice framework, asymptotic expansion, discontinuous viscosity solutions

1909.03540 2021-03-02 math.ST stat.OT stat.TH

Inference In High-dimensional Single-Index Models Under Symmetric Designs

Hamid Eftekhari, Moulinath Banerjee, Ya'acov Ritov

Comments The current version was published in the Journal of Machine Learning Research, Volume 22. It is available online at https://jmlr.org/papers/v22/19-744.html

Journal ref Journal of Machine Learning Research, 22(27), 1-63 (2021)

1806.09976 2021-02-25 stat.ML cs.LG

The decoupled extended Kalman filter for dynamic exponential-family factorization models

Carlos Alberto Gomez-Uribe, Brian Karrer

Comments 29 pages, 4 figures

Journal ref Journal of Machine Learning Research (JMLR), 22(5):1-25, 2021

1505.05629 2021-02-16 stat.ML cs.LG

Regulating Greed Over Time in Multi-Armed Bandits

Stefano Tracà, Cynthia Rudin, Weiyu Yan

Comments Published in JMLR (Journal of Machine Learning Research). The paper contains algorithms, theorems, proofs, and experimental results with synthetic and real data. url: http://jmlr.org/papers/v22/17-720.html

Journal ref Journal of Machine Learning Research, volume 22, number 3, pages 1-99, year 2021

1707.06315 2021-02-16 stat.ML cs.DB

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference

Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Journal ref Journal of Machine Learning Research, 22 (2021) 1-41

2006.11052 2021-02-15 stat.ML cond-mat.dis-nn cs.LG math.PR

Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory

Soon Hoe Lim

Comments 48 pages

Journal ref Journal of Machine Learning Research (2021)

2006.05626 2021-02-15 stat.ML cs.LG

Banach Space Representer Theorems for Neural Networks and Ridge Splines

Rahul Parhi, Robert D. Nowak

Comments update to published version

Journal ref Journal of Machine Learning Research, vol. 22, no. 43, pp. 1-40, 2021

1911.12976 2021-02-09 cs.LG cs.SY eess.SY math.OC stat.ML

Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation

Melkior Ornik, Ufuk Topcu

Comments To be published in Journal of Machine Learning Research

1911.07231 2021-01-27 math.ST stat.ML stat.TH

Adaptive Rates for Total Variation Image Denoising

Francesco Ortelli, Sara van de Geer

Comments 38 pages, 6 figures

Journal ref Journal of Machine Learning Research, 21(247), 2020

2101.05514 2021-01-18 cs.LG quant-ph stat.ML

Entangled Kernels -- Beyond Separability

Riikka Huusari, Hachem Kadri

Journal ref Journal of Machine Learning Research 22 (2021) 1-40

1905.12247 2021-01-12 stat.ML cs.LG stat.CO

Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients

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

Comments 73 pages, 2 figures, fixed a mistake in the proof of Lemma 11, accepted in JMLR

1711.10332 2021-01-12 math.OC

On $\ell_p$-Support Vector Machines and Multidimensional Kernels

Víctor Blanco, Justo Puerto, Antonio M. Rodríguez-Chía

Comments 27 paes, 2 Figures, 2 tables

Journal ref Journal of Machine Learning Research 21 (2020) 1-29

1405.5576 2021-01-12 stat.ML stat.CO

On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach

Sam Davanloo Tajbakhsh, Necdet Serhat Aybat, Enrique Del Castillo

Comments Two new sections 4.2.1, 5.1 and four new figures 5-8 are added. The title, abstract, and concluding remarks are revised

Journal ref Journal of Machine Learning Research. 21 (2020) 1-41

1711.07910 2021-01-08 stat.ML

Domain Generalization by Marginal Transfer Learning

Gilles Blanchard, Aniket Anand Deshmukh, Urun Dogan, Gyemin Lee, Clayton Scott

Comments Accepted to Journal of Machine Learning Research

1910.09092 2021-01-05 cs.LG math.OC stat.ME stat.ML

Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion

Dimitris Bertsimas, Michael Lingzhi Li

Journal ref Journal of Machine Learning Research 21 (2020) 1-43

2003.12206 2021-01-01 cs.LG stat.ML

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily Fox, Hugo Larochelle

Comments To appear at JMLR, 16 pages + Appendix

2002.06825 2020-12-23 math.ST stat.TH

On efficient adjustment in causal graphs

Janine Witte, Leonard Henckel, Marloes H. Maathuis, Vanessa Didelez

Comments 45 pages, 11 figures

Journal ref Journal of Machine Learning Research 21(246):1-45 (2020)

2007.09753 2020-12-23 math.OC

Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression

Behzad Azmi, Dante Kalise, Karl Kunisch

Comments Journal of Machine Learning Research 21(2020): 1-35

2004.10188 2020-12-22 cs.CL cs.LG stat.ML

Residual Energy-Based Models for Text

Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam

Comments long journal version

Journal ref Journal of Machine Learning Research 21 (2020) 1-41

1802.05570 2020-12-17 stat.CO stat.ME

Optimal Transport: Fast Probabilistic Approximation with Exact Solvers

Max Sommerfeld, Jörn Schrieber, Yoav Zemel, Axel Munk

Comments to appear in Journal of Machine Learning Research

Journal ref Journal of Machine Learning Research 20(105):1-23, 2019

2012.04740 2020-12-10 cs.LG cs.AI cs.MS

River: machine learning for streaming data in Python

Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphael Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet

Comments Submitted to JMLR MLOSS

1807.07013 2020-11-13 cs.DS cs.LG math.ST stat.TH

Learning Sums of Independent Random Variables with Sparse Collective Support

Anindya De, Philip M. Long, Rocco A. Servedio

Comments Conference version in FOCS'18; Journal version to appear in JMLR

2011.05934 2020-11-12 cs.LG cs.CR stat.ML

Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy

Di Wang, Marco Gaboardi, Adam Smith, Jinhui Xu

Comments Appeared at Journal of Machine Learning Research. The journal version of arXiv:1802.04085, fixed a bug in arXiv:1812.06825

1907.10383 2020-11-11 cs.LG cs.RO cs.SY eess.SY stat.ML

Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties

Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe

Comments This paper was submitted to JMLR in 2018 and rejected. Currently, it is not published, nor under review in any conference or journal venue

1911.01931 2020-11-10 cs.LG cs.DS math.OC math.PR stat.ML

Online matrix factorization for Markovian data and applications to Network Dictionary Learning

Hanbaek Lyu, Deanna Needell, Laura Balzano

Comments 39 pages, 13 figures

Journal ref Journal of Machine Learning Research 21 (2020)

1907.10905 2020-11-10 stat.ML cs.LG math.ST stat.TH

A Group-Theoretic Framework for Data Augmentation

Shuxiao Chen, Edgar Dobriban, Jane H Lee

Comments To appear in Journal of Machine Learning Research

1905.05334 2020-11-03 cs.LG cs.CC cs.DM physics.data-an stat.ML

Generating Weighted MAX-2-SAT Instances of Tunable Difficulty with Frustrated Loops

Yan Ru Pei, Haik Manukian, Massimiliano Di Ventra

Comments 38 pages, 9 figures

Journal ref Journal of Machine Learning Research 21(159), 2020