Statistical Learning
Tree-Sliced Variants of Wasserstein Distances
Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
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Sample Adaptive MCMC
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Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
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We corroborate our theoretical results with numerical experiments.
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Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui, Haotao N. Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu
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