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Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics Felix BerkenkampAndreas KrauseAngela P. Schoellig OriginalPaper Open access 24 June 2021 Pages: 3713 - 3747
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Byzantine-robust distributed sparse learning for M-estimation Jiyuan TuWeidong LiuXiaojun Mao OriginalPaper 26 July 2021 Pages: 3773 - 3804
Scenic: a language for scenario specification and data generation Daniel J. FremontEdward KimSanjit A. Seshia OriginalPaper Open access 02 February 2022 Pages: 3805 - 3849
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A hybrid ensemble method with negative correlation learning for regression Yun BaiGanglin TianSuling Jia OriginalPaper 23 August 2023 Pages: 3881 - 3916
Learning logic programs by explaining their failures Rolf MorelAndrew Cropper OriginalPaper Open access 07 August 2023 Pages: 3917 - 3943
Tensor completion with noisy side information Dimitris BertsimasColin Pawlowski OriginalPaper Open access 07 August 2023 Pages: 3945 - 3976
Metrics and methods for robustness evaluation of neural networks with generative models Igor BuzhinskyArseny NerinovskyStavros Tripakis OriginalPaper 06 July 2021 Pages: 3977 - 4012
Adversarial concept drift detection under poisoning attacks for robust data stream mining Łukasz KoryckiBartosz Krawczyk OriginalPaper 02 June 2022 Pages: 4013 - 4048
Heuristic search of optimal machine teaching curricula Manuel Garcia-PiquerasJose Hernández-Orallo OriginalPaper Open access 12 June 2023 Pages: 4049 - 4080