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Poster
Tue 7:00 Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
Will Grathwohl · Kuan-Chieh Wang · Joern-Henrik Jacobsen · David Duvenaud · Richard Zemel
Poster
Tue 9:00 Recovery of Sparse Signals from a Mixture of Linear Samples
Soumyabrata Pal · Arya Mazumdar
Poster
Thu 12:00 The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Jakub Swiatkowski · Kevin Roth · Bastiaan Veeling · Linh Tran · Joshua V Dillon · Jasper Snoek · Stephan Mandt · Tim Salimans · Rodolphe Jenatton · Sebastian Nowozin
Poster
Thu 8:00 Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Yongchan Kwon · Wonyoung Kim · Joong-Ho (Johann) Won · Myunghee Cho Paik
Poster
Tue 8:00 Near-optimal sample complexity bounds for learning Latent kpolytopes and applications to Ad-Mixtures
Chiranjib Bhattacharyya · Ravindran Kannan
Poster
Thu 6:00 New Oracle-Efficient Algorithms for Private Synthetic Data Release
Giuseppe Vietri · Grace Tian · Mark Bun · Thomas Steinke · Steven Wu
Poster
Tue 7:00 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
Xiaotian Hao · Zhaoqing Peng · Yi Ma · Guan Wang · Junqi Jin · Jianye Hao · Shan Chen · Rongquan Bai · Mingzhou Xie · Miao Xu · Zhenzhe Zheng · Chuan Yu · HAN LI · Jian Xu · Kun Gai
Poster
Wed 8:00 Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
Wang Chi Cheung · David Simchi-Levi · Ruihao Zhu
Poster
Wed 5:00 Private Query Release Assisted by Public Data
Raef Bassily · Albert Cheu · Shay Moran · Aleksandar Nikolov · Jonathan Ullman · Steven Wu
Poster
Tue 8:00 Oracle Efficient Private Non-Convex Optimization
Seth Neel · Aaron Roth · Giuseppe Vietri · Steven Wu
Poster
Thu 6:00 Calibration, Entropy Rates, and Memory in Language Models
Mark Braverman · Xinyi Chen · Sham Kakade · Karthik Narasimhan · Cyril Zhang · Yi Zhang
Poster
Thu 17:00 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