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Poster
Thu 6:00 Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan · Zeyu Jia · Mengdi Wang
Poster
Thu 9:00 Decision Trees for Decision-Making under the Predict-then-Optimize Framework
Adam Elmachtoub · Jason Cheuk Nam Liang · Ryan McNellis
Poster
Tue 10:00 Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
Shuang Qiu · Xiaohan Wei · Zhuoran Yang
Poster
Tue 9:00 Variance Reduction in Stochastic Particle-Optimization Sampling
Jianyi Zhang · Yang Zhao · Changyou Chen
Workshop
Sat 8:00 "Designing Bayesian-Optimal Experiments with Stochastic Gradients"
Tom Rainforth
Poster
Thu 12:00 Near-optimal Regret Bounds for Stochastic Shortest Path
Aviv Rosenberg · Alon Cohen · Yishay Mansour · Haim Kaplan
Poster
Tue 8:00 Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures
Chiranjib Bhattacharyya · Ravindran Kannan
Workshop
Fri 12:20 Short Talk 5 - Near-Optimal Reinforcement Learning with Self-Play
Tiancheng Yu
Poster
Tue 7:00 Data Amplification: Instance-Optimal Property Estimation
Yi Hao · Alon Orlitsky
Poster
Wed 12:00 Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh
Poster
Thu 7:00 Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
Shengpu Tang · Aditya Modi · Michael Sjoding · Jenna Wiens
Poster
Thu 9:00 From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model
Aadirupa Saha · Aditya Gopalan