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18 Results

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Workshop
Kernel Mirror Prox and RKHS Gradient Flow for Mixed Functional Nash Equilibrium
Pavel Dvurechenskii · Jia-Jie Zhu
Workshop
Characterizing the Optimal 01 Loss for Multi-class Classification with a Test-time Attacker
Sophie Dai · Wenxin Ding · Arjun Nitin Bhagoji · Daniel Cullina · Ben Zhao · Heather Zheng · Prateek Mittal
Workshop
RIFLE: Imputation and Robust Inference from Low Order Marginals
Sina Baharlouei · Kelechi Ogudu · Peng Dai · Sze-Chuan Suen · Meisam Razaviyayn
Workshop
Proximal Compositional Optimization for Distributionally Robust Learning
Prashant Khanduri · Chengyin Li · RAFI IBN SULTAN · Yao Qiang · Joerg Kliewer · Dongxiao Zhu
Affinity Workshop
Mon 19:15 1-Path-Norm Regularization of Deep Neural Networks
Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher
Workshop
Learning with Primal-Dual Spectral Risk Measures: a Fast Incremental Algorithm
Ronak Mehta · Vincent Roulet · Krishna Pillutla · Zaid Harchaoui