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Spotlight
Fri Jul 22 04:30 AM -- 04:35 AM (KST) @ Ballroom 3 & 4
Nearly Optimal Catoni’s M-estimator for Infinite Variance
In T: Online Learning and Bandits
Sujay Bhatt · Guanhua Fang · Ping Li · Gennady Samorodnitsky
Spotlight
Fri Jul 22 04:35 AM -- 04:40 AM (KST) @ Ballroom 3 & 4
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
In T: Online Learning and Bandits
Tianrui Chen · Aditya Gangrade · Venkatesh Saligrama
Spotlight
Fri Jul 22 04:40 AM -- 04:45 AM (KST) @ Ballroom 3 & 4
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
In T: Online Learning and Bandits
Oisin Faust · Hamza Fawzi
Spotlight
Fri Jul 22 04:45 AM -- 04:50 AM (KST) @ Ballroom 3 & 4
Contextual Information-Directed Sampling
In T: Online Learning and Bandits
Botao Hao · Tor Lattimore · Chao Qin
Spotlight
Fri Jul 22 04:50 AM -- 04:55 AM (KST) @ Ballroom 3 & 4
Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
In T: Online Learning and Bandits
Avishek Ghosh · Abishek Sankararaman
Spotlight
Fri Jul 22 04:55 AM -- 05:00 AM (KST) @ Ballroom 3 & 4
Universal and data-adaptive algorithms for model selection in linear contextual bandits
In T: Online Learning and Bandits
Vidya Muthukumar · Akshay Krishnamurthy
Spotlight
Fri Jul 22 05:00 AM -- 05:05 AM (KST) @ Ballroom 3 & 4
Regret Minimization with Performative Feedback
In T: Online Learning and Bandits
Meena Jagadeesan · Tijana Zrnic · Celestine Mendler-Dünner
Oral
Fri Jul 22 05:05 AM -- 05:25 AM (KST) @ Ballroom 3 & 4
A Simple yet Universal Strategy for Online Convex Optimization
In T: Online Learning and Bandits
Lijun Zhang · Guanghui Wang · Jinfeng Yi · Tianbao Yang
Spotlight
Fri Jul 22 05:25 AM -- 05:30 AM (KST) @ Ballroom 3 & 4
Deep Hierarchy in Bandits
In T: Online Learning and Bandits
Joey Hong · Branislav Kveton · Sumeet Katariya · Manzil Zaheer · Mohammad Ghavamzadeh
Spotlight
Fri Jul 22 05:30 AM -- 05:35 AM (KST) @ Ballroom 3 & 4
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
In T: Online Learning and Bandits
Sho Takemori
Spotlight
Fri Jul 22 05:35 AM -- 05:40 AM (KST) @ Ballroom 3 & 4
Asymptotically-Optimal Gaussian Bandits with Side Observations
In T: Online Learning and Bandits
Alexia Atsidakou · Orestis Papadigenopoulos · Constantine Caramanis · Sujay Sanghavi · Sanjay Shakkottai
Spotlight
Fri Jul 22 05:40 AM -- 05:45 AM (KST) @ Ballroom 3 & 4
Learning from a Learning User for Optimal Recommendations
In T: Online Learning and Bandits
Fan Yao · Chuanhao Li · Denis Nekipelov · Hongning Wang · Haifeng Xu
Spotlight
Fri Jul 22 05:45 AM -- 05:50 AM (KST) @ Ballroom 3 & 4
Thresholded Lasso Bandit
In T: Online Learning and Bandits
Kaito Ariu · Kenshi Abe · Alexandre Proutiere
Spotlight
Fri Jul 22 05:50 AM -- 05:55 AM (KST) @ Ballroom 3 & 4
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences
In T: Online Learning and Bandits
Aadirupa Saha · Pierre Gaillard
Spotlight
Fri Jul 22 05:55 AM -- 06:00 AM (KST) @ Ballroom 3 & 4
Decentralized Online Convex Optimization in Networked Systems
In T: Online Learning and Bandits
Yiheng Lin · Judy Gan · Guannan Qu · Yash Kanoria · Adam Wierman