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Workshop
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Bridging the Gap Between Adversarial Robustness and Optimization Bias
Fartash Faghri
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Poster
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Mon 17:00
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When Optimizing f-Divergence is Robust with Label Noise
Jiaheng Wei · Yang Liu
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Poster
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Mon 1:00
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Towards Robust Neural Networks via Close-loop Control
Zhuotong Chen · Qianxiao Li · Zheng Zhang
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Poster
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Mon 17:00
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Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang · Hongge Chen · Duane S Boning · Cho-Jui Hsieh
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Poster
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Tue 1:00
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Coping with Label Shift via Distributionally Robust Optimisation
Jingzhao Zhang · Aditya Krishna Menon · Andreas Veit · Srinadh Bhojanapalli · Sanjiv Kumar · Suvrit Sra
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Poster
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Wed 9:00
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Modeling the Second Player in Distributionally Robust Optimization
Paul Michel · Tatsunori Hashimoto · Graham Neubig
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Poster
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Wed 1:00
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Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh
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Poster
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Wed 1:00
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Removing Undesirable Feature Contributions Using Out-of-Distribution Data
Saehyung Lee · Changhwa Park · Hyungyu Lee · Jihun Yi · Jonghyun Lee · Sungroh Yoon
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Poster
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Thu 9:00
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Enforcing robust control guarantees within neural network policies
Priya Donti · Melrose Roderick · Mahyar Fazlyab · Zico Kolter
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Poster
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Tue 17:00
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A Hypergradient Approach to Robust Regression without Correspondence
Yujia Xie · Yixiu Mao · Simiao Zuo · Hongteng Xu · Xiaojing Ye · Tuo Zhao · Hongyuan Zha
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Workshop
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Fri 12:45
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Better Adaptation to Distribution Shifts with Robust Pseudo-Labeling - Q&A
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Workshop
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Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
Mher Safaryan · Filip Hanzely · Peter Richtarik
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