JMLR

XAI Beyond Classification: Interpretable Neural Clustering

Xi Peng, Yunnan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou

Comments 28 pages

Journal ref Journal of Machine Learning Research, 2022

Causal Scene BERT: Improving object detection by searching for challenging groups of data

Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler

Comments In submission at JMLR; 0xe5110eA3B5014cd9a585Dc76c74Ee509F504Be14

Estimating Density Models with Truncation Boundaries using Score Matching

Song Liu, Takafumi Kanamori, Daniel J. Williams

Comments to be published in the Journal of Machine Learning Research

Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism

Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos

Comments Accepted by Journal of Machine Learning Research (JMLR)

The Weight Function in the Subtree Kernel is Decisive

Romain Azaïs, Florian Ingels

Comments 36 pages

Journal ref Journal of Machine Learning Research Volume 21 (2020)

New insights for the multivariate square-root lasso

Aaron J. Molstad

Comments Accepted for publication in Journal of Machine Learning Research

Sum of Ranked Range Loss for Supervised Learning

Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu

Comments Accepted by Journal of Machine Learning Research (JMLR). arXiv admin note: text overlap with arXiv:2010.01741

DPPy: Sampling DPPs with Python

Guillaume Gautier, Guillermo Polito, Rémi Bardenet, Michal Valko

Comments Code at http://github.com/guilgautier/DPPy/ Documentation at http://dppy.readthedocs.io/

Journal ref Journal of Machine Learning Research 20 (2019) 1-7

Nonparametric risk bounds for time-series forecasting

Daniel J. McDonald, Cosma Rohilla Shalizi, Mark Schervish

Comments 34 pages, 3 figures

Journal ref Journal of Machine Learning Research. (2017). Vol 18. p. 1-40

Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning

Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang

Journal ref Journal of Machine Learning Research 22(262) (2021) 1-44

Deep Learning in Target Space

Michael Fairbank, Spyridon Samothrakis, Luca Citi

Journal ref Journal of Machine Learning Research 23.8 (2022) 1-46

Are All Layers Created Equal?

Chiyuan Zhang, Samy Bengio, Yoram Singer

Comments JMLR 2022, 28 pages, 21 figures

Exploiting locality in high-dimensional factorial hidden Markov models

Lorenzo Rimella, Nick Whiteley

Comments https://www.jmlr.org/papers/volume23/19-267/19-267.pdf

Journal ref Journal of Machine Learning Research 23 (2022) 1-34

A spectral-based analysis of the separation between two-layer neural networks and linear methods

Lei Wu, Jihao Long

Comments Accepted by Journal of Machine Learning Research

On the Complexity of Approximating Multimarginal Optimal Transport

Tianyi Lin, Nhat Ho, Marco Cuturi, Michael I. Jordan

Comments Accepted by Journal of Machine Learning Research; Add the references and the funding information; 40 pages, 14 figures

Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality

Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet

Comments Revision submitted to JMLR

Journal ref Journal of Machine Learning Research 23(13):1-35, 2022

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhopf, René Sass, Frank Hutter

Journal ref Journal of Machine Learning Research 23 (2022) 1-9

Score Matched Neural Exponential Families for Likelihood-Free Inference

Lorenzo Pacchiardi, Ritabrata Dutta

Comments 20 pages plus references and Appendix. Code for reproducing the experiments is available at http://github.com/LoryPack/SM-ExpFam-LFI

Journal ref Journal of Machine Learning Research, 23(38), 2022

Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning

Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci

Comments Accepted to JMLR

Evolutionary Variational Optimization of Generative Models

Jakob Drefs, Enrico Guiraud, Jörg Lücke

Journal ref Journal of Machine Learning Research 23(21):1-51, 2022

Inherent Tradeoffs in Learning Fair Representations

Han Zhao, Geoffrey J. Gordon

Comments Update to the JMLR version: A new constructive algorithm for the optimal fair classifier; Extension of the previous lower bounds to a more general setting

Structure-adaptive manifold estimation

Nikita Puchkin, Vladimir Spokoiny

Comments 62 pages, 2 tables, 3 figures

Journal ref Journal of Machine Learning Research 23(40): 1-62, 2022

Optimality and Stability in Non-Convex Smooth Games

Guojun Zhang, Pascal Poupart, Yaoliang Yu

Comments accepted by JMLR 2022

BERT Attends the Conversation: Improving Low-Resource Conversational ASR

Pablo Ortiz, Simen Burud

Comments 18 pages, 3 figures; new title and abstract, minor changes, results unchanged; prepared for submission to JMLR

Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models

Subhabrata Majumdar, George Michailidis

Comments Journal of Machine Learning Research, 2022, https://jmlr.org/papers/v23/18-131.html

Estimating the Lasso's Effective Noise

Johannes Lederer, Michael Vogt

Journal ref Journal of Machine Learning Research 2021, Vol. 22, 1-32

Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization

Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

Comments Published in Journal of Machine Learning Research (JMLR)

Reproducing kernel Hilbert C*-module and kernel mean embeddings

Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara

Comments merged two unpablished papers arXiv:2003.00738 and 2007.14698 into this paper. arXiv admin note: text overlap with arXiv:2007.14698. Note regarding version 2: corrected typos and errors

Journal ref JMLR, 22(267):1-56, 2021

On universal approximation and error bounds for Fourier Neural Operators

Nikola Kovachki, Samuel Lanthaler, Siddhartha Mishra

Journal ref Journal of Machine Learning Research 22 (2021) 1-76

LDLE: Low Distortion Local Eigenmaps

Dhruv Kohli, Alexander Cloninger, Gal Mishne

Comments 66 pages, 32 figures, preprint. Rearranged figures

Journal ref JMLR (2021) 22: 64