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Poster
Tue 14:00 Differentially Private Online Submodular Maximization
Sebastian Perez-Salazar · Rachel Cummings
Poster
Tue 14:00 Online Model Selection for Reinforcement Learning with Function Approximation
Jonathan Lee · Aldo Pacchiano · Vidya Muthukumar · Weihao Kong · Emma Brunskill
Poster
Tue 14:00 An Optimal Reduction of TV-Denoising to Adaptive Online Learning
Dheeraj Baby · Xuandong Zhao · Yu-Xiang Wang
Poster
Tue 14:00 An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling
QIN DING · Cho-Jui Hsieh · James Sharpnack
Poster
Tue 14:00 Misspecification in Prediction Problems and Robustness via Improper Learning
Annie Marsden · John Duchi · Gregory Valiant
Poster
Tue 14:00 Non-Stationary Off-Policy Optimization
Joey Hong · Branislav Kveton · Manzil Zaheer · Yinlam Chow · Amr Ahmed
Poster
Tue 14:00 Active Online Learning with Hidden Shifting Domains
Yining Chen · Haipeng Luo · Tengyu Ma · Chicheng Zhang
Poster
Tue 18:30 Corralling Stochastic Bandit Algorithms
Raman Arora · Teodor Vanislavov Marinov · Mehryar Mohri
Poster
Tue 18:30 Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Vo Nguyen Le Duy · Ichiro Takeuchi
Poster
Tue 18:30 Online Forgetting Process for Linear Regression Models
Yuantong Li · Chi-Hua Wang · Guang Cheng
Poster
Wed 6:00 On Riemannian Stochastic Approximation Schemes with Fixed Step-Size
Alain Durmus · Pablo JimĂ©nez · Eric Moulines · Salem SAID
Poster
Wed 6:00 Budgeted and Non-Budgeted Causal Bandits
Vineet Nair · Vishakha Patil · Gaurav Sinha