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Oral
Tue Jul 19 07:30 AM -- 07:50 AM (PDT) @ Room 309
Online Learning for Min Sum Set Cover and Pandora’s Box
Evangelia Gergatsouli · Christos Tzamos
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 309
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
Vidyashankar Sivakumar · Shiliang Zuo · Arindam Banerjee
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 309
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
Fang Kong · Yichi Zhou · Shuai Li
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 309
Thompson Sampling for (Combinatorial) Pure Exploration
Siwei Wang · Jun Zhu
Spotlight
Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Room 309
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness
Shinji Ito
Spotlight
Tue Jul 19 08:10 AM -- 08:15 AM (PDT) @ Room 309 None
Rotting Infinitely Many-Armed Bandits
Jung-hun Kim · Milan Vojnovic · Se-Young Yun
Oral
Tue Jul 19 08:15 AM -- 08:35 AM (PDT) @ Room 309
Batched Dueling Bandits
Arpit Agarwal · Rohan Ghuge · viswanath nagarajan
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 309
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
Weiming Liu · Huacong Jiang · Bin Li · Houqiang Li
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 309
Consistent Polyhedral Surrogates for Top-k Classification and Variants
Anish Thilagar · Rafael Frongillo · Jessie Finocchiaro · Emma Goodwill
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 309
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
Viktor Bengs · Aadirupa Saha · Eyke Hüllermeier
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 309
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
Aadirupa Saha · Shubham Gupta
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 309
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
Tianyi Lin · Aldo Pacchiano · Yaodong Yu · Michael Jordan