JMLR - arXivDaily 期刊&会议

1806.01520 2021-12-20 math.OC

On $\ell_p$-hyperparameter Learning via Bilevel Nonsmooth Optimization

Takayuki Okuno, Akiko Takeda, Akihiro Kawana, Motokazu Watanabe

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

2012.06922 2021-12-17 cs.LG cs.NA math.NA

Decimated Framelet System on Graphs and Fast G-Framelet Transforms

Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang

Comments 69 pages, 10 figures, Published in JMLR

1905.11937 2021-12-09 stat.CO stat.ME stat.ML

Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting

Maxime Vono, Daniel Paulin, Arnaud Doucet

Comments Accepted for publication at Journal of Machine Learning Research. To appear

1811.11419 2021-12-09 stat.ML cs.LG

Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals

Emilie Kaufmann, Wouter Koolen

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

2004.09281 2021-12-08 cs.LG stat.ML

Tractable Approximate Gaussian Inference for Bayesian Neural Networks

James-A. Goulet, Luong Ha Nguyen, Saeid Amiri

Journal ref Journal of Machine Learning Research, Volume 22, Number 251, Pages 1-23 (2021)

2011.03293 2021-12-03 math.OC cs.LG

On the Stability Properties and the Optimization Landscape of Training Problems with Squared Loss for Neural Networks and General Nonlinear Conic Approximation Schemes

Constantin Christof

Comments Final version, Journal of Machine Learning Research, 22(263):1-77, 2021, https://jmlr.org/papers/v22/20-1259.html

1902.00468 2021-12-03 stat.ML cs.LG

Multilevel Monte Carlo Variational Inference

Masahiro Fujisawa, Issei Sato

Comments 44pages, 10 figures; Journal of Machine Learning Research (JMLR)

2002.05212 2021-12-02 stat.ML cs.LG

Estimating Uncertainty Intervals from Collaborating Networks

Tianhui Zhou, Yitong Li, Yuan Wu, David Carlson

Comments This paper has been accepted for publication by the Journal of Machine learning Research(JMLR)

Journal ref Journal of Machine Learning Research. 22 (2021) 1-47

1903.05262 2021-12-01 stat.ME

A flexible model-free prediction-based framework for feature ranking

Jingyi Jessica Li, Yiling Chen, Xin Tong

Journal ref Journal of Machine Learning Research 22 (2021) 1-54

2010.15764 2021-11-25 stat.ML cs.LG math.ST stat.TH

Domain adaptation under structural causal models

Yuansi Chen, Peter Bühlmann

Comments 80 pages, 22 figures, accepted in JMLR

2007.07183 2021-11-25 cs.AI stat.ML

Conditional independences and causal relations implied by sets of equations

Tineke Blom, Mirthe M. van Diepen, Joris M. Mooij

Comments 60 pages

Journal ref Journal of Machine Learning Research 22(178):1-62, 2021

1901.02763 2021-11-17 math.OC

Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit

Shenglong Zhou, Naihua Xiu, Hou-Duo Qi

Journal ref Journal of Machine Learning Research, 2021

2006.08012 2021-11-16 math.OC cs.CG cs.DS cs.LG

Wasserstein barycenters can be computed in polynomial time in fixed dimension

Jason M. Altschuler, Enric Boix-Adsera

Comments 15 pages + refs, 5 figs. Improved exposition. Title has been updated for clarity

Journal ref Journal of Machine Learning Research (JMLR), 22, 1-19, 2021

1904.09448 2021-11-16 cs.LG stat.ML

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya

Comments 5 page JMLR library format, 4 figures. Library available as open source for download at: https://github.com/jmdvinodjmd/LIBS2ML

Journal ref Software Impacts, Volume 10, November 2021, 100123 (2021)

1802.09514 2021-11-16 math.ST cs.LG stat.ML stat.TH

Best Arm Identification for Contaminated Bandits

Jason Altschuler, Victor-Emmanuel Brunel, Alan Malek

Comments to appear in Journal of Machine Learning Research (JMLR)

Journal ref Journal of Machine Learning Research (JMLR), 20(91), 1-39, 2019

1906.00066 2021-11-02 cs.LG cs.IT math.IT stat.ML

Optimized Score Transformation for Consistent Fair Classification

Dennis Wei, Karthikeyan Natesan Ramamurthy, Flavio du Pin Calmon

Comments 78 pages, 16 figures. Published in Journal of Machine Learning Research. Earlier version published at the 2020 International Conference on Artificial Intelligence and Statistics (AISTATS)

1904.01517 2021-11-02 math.NA cs.LG cs.NA math.PR stat.ML

Convergence rates for the stochastic gradient descent method for non-convex objective functions

Benjamin Fehrman, Benjamin Gess, Arnulf Jentzen

Comments 59 pages

Journal ref Journal of Machine Learning Research 21 (2020), Paper No. 136, 48 pp

2102.03324 2021-10-27 cs.LG stat.ML

GIBBON: General-purpose Information-Based Bayesian OptimisatioN

Henry B. Moss, David S. Leslie, Javier Gonzalez, Paul Rayson

Journal ref Journal of Machine Learning Research 2021

2010.08479 2021-10-19 stat.ML cs.LG math.ST stat.TH

Failures of model-dependent generalization bounds for least-norm interpolation

Peter L. Bartlett, Philip M. Long

Journal ref JMLR, 22(204):1-15, 2021

2001.04286 2021-10-19 math.OC cs.CV cs.LG cs.RO

Nonparametric Continuous Sensor Registration

William Clark, Maani Ghaffari, Anthony Bloch

Comments 50 pages. Accepted for Journal of Machine Learning Research. arXiv admin note: text overlap with arXiv:1904.02266

2010.13523 2021-10-18 stat.ML cs.LG stat.ME

Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data

Yikun Zhang, Yen-Chi Chen

Comments 92 pages, 11 figures. Accepted to the Journal of Machine Learning Research

Journal ref Journal of Machine Learning Research 2021, Vol.22, No.154, 1-92

2103.11037 2021-10-15 math.NA cs.IT cs.LG cs.NA eess.IV math.IT

Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions

HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell

Journal ref The Journal of Machine Learning Research 22.185 (2021): 1-36

2005.08054 2021-10-15 cs.LG cs.IT math.IT stat.ML

Classification vs regression in overparameterized regimes: Does the loss function matter?

Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel Hsu, Anant Sahai

Journal ref Journal of Machine Learning Research, 22(222):1-69, 2021

2110.05861 2021-10-13 cs.CV cs.AI

Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be

Valerio Biscione, Jeffrey S. Bowers

Journal ref Journal of Machine Learning Research 2021 22(229) 1-28

1906.09501 2021-10-13 math.ST cs.DS cs.LG stat.ML stat.TH

Learning partial correlation graphs and graphical models by covariance queries

Gábor Lugosi, Jakub Truszkowski, Vasiliki Velona, Piotr Zwiernik

Comments The title of the paper was changed. The previous title was 'Structure learning in graphical models by covariance queries'. Other minor changes suggested by referees were also implemented

Journal ref Journal of Machine Learning Research, Year 2021, Volume 22, Issue 203, Pages 1-41

1703.01014 2021-10-13 cs.LG stat.ML

Active Learning for Cost-Sensitive Classification

Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daume, John Langford

Comments Fixed typos in Appendix A

Journal ref Journal of Machine Learning Research, 2019

2012.14406 2021-10-12 cs.LG cs.HC cs.SE stat.ML

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek

Comments https://jmlr.org/papers/v22/20-1473.html

Journal ref Journal of Machine Learning Research (2021) v. 22(214); pp. 1-7

2006.06267 2021-10-12 cs.LG stat.ML

A Generalised Linear Model Framework for $β$-Variational Autoencoders based on Exponential Dispersion Families

Robert Sicks, Ralf Korn, Stefanie Schwaar

Comments https://jmlr.org/papers/v22/21-0037.html

Journal ref Journal of Machine Learning Research, volume 22, number 233, year 2021, pages 1-41

2103.12608 2021-10-12 cs.LG

DIG: A Turnkey Library for Diving into Graph Deep Learning Research

Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora Oztekin, Xuan Zhang, Shuiwang Ji

Comments Accepted by Journal of Machine Learning Research (JMLR)

2006.08464 2021-10-12 cs.LG stat.ML

Globally Injective ReLU Networks

Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanić, Maarten de Hoop

Comments 48 pages, 18 figures, submitted to JMLR