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119 Results
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Poster
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Thu 16:30 |
Model-Free Robust Average-Reward Reinforcement Learning Yue Wang · Alvaro Velasquez · George Atia · Ashley Prater-Bennette · Shaofeng Zou |
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Workshop
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A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan · Tao Li · Henger Li · Tianyi Xu · Quanyan Zhu · Zizhan Zheng |
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Workshop
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Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang · Yanchao Sun · Ruijie Zheng · Xiangyu Liu · Tuomas Sandholm · Furong Huang · Stephen Mcaleer |
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Poster
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Wed 14:00 |
Memory-Based Meta-Learning on Non-Stationary Distributions Tim Genewein · Gregoire Deletang · Anian Ruoss · Li Kevin Wenliang · Elliot Catt · Vincent Dutordoir · Jordi Grau-Moya · Laurent Orseau · Marcus Hutter · Joel Veness |
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Affinity Workshop
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Mon 19:15 |
1-Path-Norm Regularization of Deep Neural Networks Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher |
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Workshop
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RIFLE: Imputation and Robust Inference from Low Order Marginals Sina Baharlouei · Kelechi Ogudu · Peng Dai · Sze-Chuan Suen · Meisam Razaviyayn |
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Workshop
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Antibody DomainBed: Towards robust predictions using invariant representations of biological sequences carrying complex distribution shifts Natasa Tagasovska · Ji Won Park · Stephen Ra · Kyunghyun Cho |
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Workshop
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Internet Learning: Preliminary Steps Towards Highly Fault-Tolerant Learning on Device Networks Surojit Ganguli · Avi Amalanshu · Amritanshu Ranjan · David I. Inouye |
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Workshop
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Fri 18:30 |
How Can Neuroscience Help Us Build More Robust Deep Neural Networks? Sayanton Dibbo · Siddharth Mansingh · Jocelyn Rego · Garrett T Kenyon · Juston Moore · Michael Teti |
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Workshop
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Like Oil and Water: Group Robustness and Poisoning Defenses Don’t Mix Michael-Andrei Panaitescu-Liess · Yigitcan Kaya · Tudor Dumitras |
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Workshop
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Kernel Mirror Prox and RKHS Gradient Flow for Mixed Functional Nash Equilibrium Pavel Dvurechenskii · Jia-Jie Zhu |