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Poster
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Tue 9:00
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Recovery of Sparse Signals from a Mixture of Linear Samples
Soumyabrata Pal · Arya Mazumdar
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Poster
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Tue 8:00
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Near-optimal sample complexity bounds for learning Latent k−polytopes and applications to Ad-Mixtures
Chiranjib Bhattacharyya · Ravindran Kannan
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Poster
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Thu 8:00
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Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Yongchan Kwon · Wonyoung Kim · Joong-Ho (Johann) Won · Myunghee Cho Paik
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Poster
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Thu 6:00
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New Oracle-Efficient Algorithms for Private Synthetic Data Release
Giuseppe Vietri · Grace Tian · Mark Bun · Thomas Steinke · Steven Wu
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Poster
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Wed 8:00
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Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
Wang Chi Cheung · David Simchi-Levi · Ruihao Zhu
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Poster
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Wed 5:00
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Private Query Release Assisted by Public Data
Raef Bassily · Albert Cheu · Shay Moran · Aleksandar Nikolov · Jonathan Ullman · Steven Wu
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Poster
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Tue 8:00
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Oracle Efficient Private Non-Convex Optimization
Seth Neel · Aaron Roth · Giuseppe Vietri · Steven Wu
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Poster
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Thu 17:00
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Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
Chengchun Shi · Runzhe Wan · Rui Song · Wenbin Lu · Ling Leng
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Poster
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Tue 11:00
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Consistent Structured Prediction with Max-Min Margin Markov Networks
Alex Nowak · Francis Bach · Alessandro Rudi
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Poster
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Tue 10:00
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Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha · Goran Radanovic · Rati Devidze · Jerry Zhu · Adish Singla
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Poster
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Tue 7:00
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Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
shuai zhang · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
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