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