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Poster
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Thu 0:30
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Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu · Subhroshekhar Ghosh · Jonathan Scarlett
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Poster
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Thu 8:30
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Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Koby Bibas · Meir Feder · Tal Hassner
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Poster
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Thu 0:30
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Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
Nan Ding · Xi Chen · Tomer Levinboim · Sebastian Goodman · Radu Soricut
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Poster
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Thu 0:30
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Subquadratic Overparameterization for Shallow Neural Networks
ChaeHwan Song · Ali Ramezani-Kebrya · Thomas Pethick · Armin Eftekhari · Volkan Cevher
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Poster
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Wed 16:30
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For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
Brian Trippe · Hilary Finucane · Tamara Broderick
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Poster
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Tue 16:30
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PiRank: Scalable Learning To Rank via Differentiable Sorting
Robin Swezey · Aditya Grover · Bruno Charron · Stefano Ermon
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Poster
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Thu 16:30
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Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
Shicong Cen · Yuting Wei · Yuejie Chi
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Poster
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Tue 8:30
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Analysis of one-hidden-layer neural networks via the resolvent method
Vanessa Piccolo · Dominik Schröder
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Poster
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Thu 8:30
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Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure
Aviv Rosenberg · Yishay Mansour
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Poster
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Thu 0:30
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Combinatorial Pure Exploration with Bottleneck Reward Function
Yihan Du · Yuko Kuroki · Wei Chen
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Workshop
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Mon 6:00
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Regularity theory of optimal transport maps
Alessio Figalli
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Workshop
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Mon 11:55
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Benefits of using optimal transport in computational learning and inversion
Yunan Yang
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