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Poster
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Wed 14:00
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Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Yongyuan Liang · Yanchao Sun · Ruijie Zheng · Furong Huang
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Poster
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Tue 9:00
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Single Loop Gaussian Homotopy Method for Non-convex Optimization
Hidenori Iwakiri · Yuhang Wang · Shinji Ito · Akiko Takeda
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Poster
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Thu 9:00
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Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma
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Poster
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Tue 14:00
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Confident Approximate Policy Iteration for Efficient Local Planning in qπ-realizable MDPs
Gellért Weisz · András György · Tadashi Kozuno · Csaba Szepesvari
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Workshop
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Evaluating Worst Case Adversarial Weather Perturbations Robustness
Yihan Wang · Yunhao Ba · Howard Zhang · Huan Zhang · Achuta Kadambi · Stefano Soatto · Alex Wong · Cho-Jui Hsieh
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Poster
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Thu 14:00
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Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
Alessio Mazzetto · Cristina Menghini · Andrew Yuan · Eli Upfal · Stephen Bach
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Workshop
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Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses & Extension to Non-Convex Losses
Andrew Lowy · Meisam Razaviyayn
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Workshop
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Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
Amrith Setlur · Don Dennis · Benjamin Eysenbach · Aditi Raghunathan · Chelsea Finn · Virginia Smith · Sergey Levine
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Poster
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Wed 9:00
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Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Takumi Tanabe · Rei Sato · Kazuto Fukuchi · Jun Sakuma · Youhei Akimoto
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