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