Federated learning with superquantile aggregation for heterogeneous data Authors (first, second and last of 4) Krishna PillutlaYassine LaguelZaid Harchaoui Content type: OriginalPaper Published: 16 May 2023 Pages: 2955 - 3022
On the incompatibility of accuracy and equal opportunity Authors (first, second and last of 4) Carlos PinzónCatuscia PalamidessiFrank Valencia Content type: OriginalPaper Published: 02 May 2023 Pages: 2405 - 2434
Imbalanced gradients: a subtle cause of overestimated adversarial robustness Authors (first, second and last of 6) **ngjun MaLinxi JiangYu-Gang Jiang Content type: OriginalPaper Published: 30 March 2023 Pages: 2301 - 2326
PreCoF: counterfactual explanations for fairness Authors Sofie GoethalsDavid MartensToon Calders Content type: OriginalPaper Published: 28 March 2023 Pages: 3111 - 3142
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks Authors (first, second and last of 4) Mahum NaseerBharath Srinivas PrabakaranMuhammad Shafique Content type: OriginalPaper Open Access Published: 01 March 2023 Pages: 2499 - 2526
Adversarial supervised contrastive learning Authors (first, second and last of 5) Zhuorong LiDaiwei YuHongchuan Yu Content type: OriginalPaper Published: 01 November 2022 Pages: 2105 - 2130
Responsible model deployment via model-agnostic uncertainty learning Authors Preethi LahotiKrishna GummadiGerhard Weikum Content type: OriginalPaper Open Access Published: 18 October 2022 Pages: 939 - 970
Dealing with the unevenness: deeper insights in graph-based attack and defense Authors Haoxi Zhan**aobing Pei Content type: OriginalPaper Published: 07 October 2022 Pages: 2921 - 2953
Wasserstein dropout Authors (first, second and last of 6) Joachim SickingMaram AkilaAsja Fischer Content type: OriginalPaper Open Access Published: 08 September 2022 Pages: 3161 - 3204
Adversarial vulnerability bounds for Gaussian process classification Authors (first, second and last of 4) Michael Thomas SmithKathrin GrosseMauricio A. Álvarez Content type: OriginalPaper Open Access Published: 08 September 2022 Pages: 971 - 1009
Adversarial learning for counterfactual fairness Authors Vincent GrariSylvain LamprierMarcin Detyniecki Content type: OriginalPaper Published: 03 August 2022 Pages: 741 - 763
LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations Authors Weronika HryniewskaAdrianna GrudzieńPrzemysław Biecek Content type: OriginalPaper Open Access Published: 14 July 2022 Pages: 3143 - 3160
Improving fairness generalization through a sample-robust optimization method Authors (first, second and last of 5) Julien FerryUlrich AïvodjiMohamed Siala Content type: OriginalPaper Published: 06 July 2022 Pages: 2131 - 2192
Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation Authors Shota NakajimaMasashi Sugiyama Content type: OriginalPaper Published: 27 June 2022 Pages: 889 - 919
Fairness seen as global sensitivity analysis Authors (first, second and last of 4) Clément BénesseFabrice GamboaThibaut Boissin Content type: OriginalPaper Published: 24 June 2022 Pages: 3205 - 3232
Safety-constrained reinforcement learning with a distributional safety critic Authors (first, second and last of 4) Qisong YangThiago D. SimãoMatthijs T. J. Spaan Content type: OriginalPaper Open Access Published: 23 June 2022 Pages: 859 - 887
Explicit Explore, Exploit, or Escape (\(E^4\)): near-optimal safety-constrained reinforcement learning in polynomial time Authors David M. BossensNicholas Bishop Content type: OriginalPaper Open Access Published: 22 June 2022 Pages: 817 - 858