Journal Machine Learning Machine Learning is an international forum focusing on computational approaches to learning. Publishing model Hybrid Journal Impact Factor 2.9 (2024) Downloads 1.9M (2024) Submission to first decision (median) 5 days
Federated learning with superquantile aggregation for heterogeneous data Krishna PillutlaYassine LaguelZaid Harchaoui OriginalPaper 16 May 2023 Pages: 2955 - 3022
On the incompatibility of accuracy and equal opportunity Carlos PinzónCatuscia PalamidessiFrank Valencia OriginalPaper 02 May 2023 Pages: 2405 - 2434
Imbalanced gradients: a subtle cause of overestimated adversarial robustness Xingjun MaLinxi JiangYu-Gang Jiang OriginalPaper 30 March 2023 Pages: 2301 - 2326
PreCoF: counterfactual explanations for fairness Sofie GoethalsDavid MartensToon Calders OriginalPaper 28 March 2023 Pages: 3111 - 3142
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks Mahum NaseerBharath Srinivas PrabakaranMuhammad Shafique OriginalPaper Open access 01 March 2023 Pages: 2499 - 2526
Adversarial supervised contrastive learning Zhuorong LiDaiwei YuHongchuan Yu OriginalPaper 01 November 2022 Pages: 2105 - 2130
Responsible model deployment via model-agnostic uncertainty learning Preethi LahotiKrishna GummadiGerhard Weikum OriginalPaper Open access 18 October 2022 Pages: 939 - 970
Dealing with the unevenness: deeper insights in graph-based attack and defense Haoxi ZhanXiaobing Pei OriginalPaper 07 October 2022 Pages: 2921 - 2953
Wasserstein dropout Joachim SickingMaram AkilaAsja Fischer OriginalPaper Open access 08 September 2022 Pages: 3161 - 3204
Adversarial vulnerability bounds for Gaussian process classification Michael Thomas SmithKathrin GrosseMauricio A. Álvarez OriginalPaper Open access 08 September 2022 Pages: 971 - 1009
Adversarial learning for counterfactual fairness Vincent GrariSylvain LamprierMarcin Detyniecki OriginalPaper 03 August 2022 Pages: 741 - 763
LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations Weronika HryniewskaAdrianna GrudzieńPrzemysław Biecek OriginalPaper Open access 14 July 2022 Pages: 3143 - 3160
Improving fairness generalization through a sample-robust optimization method Julien FerryUlrich AïvodjiMohamed Siala OriginalPaper 06 July 2022 Pages: 2131 - 2192
Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation Shota NakajimaMasashi Sugiyama OriginalPaper 27 June 2022 Pages: 889 - 919
Fairness seen as global sensitivity analysis Clément BénesseFabrice GamboaThibaut Boissin OriginalPaper 24 June 2022 Pages: 3205 - 3232
Safety-constrained reinforcement learning with a distributional safety critic Qisong YangThiago D. SimãoMatthijs T. J. Spaan OriginalPaper Open access 23 June 2022 Pages: 859 - 887
Explicit Explore, Exploit, or Escape (\(E^4\)): near-optimal safety-constrained reinforcement learning in polynomial time David M. BossensNicholas Bishop OriginalPaper Open access 22 June 2022 Pages: 817 - 858