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Poster
Wed 17:00 Online-Within-Online Meta-Learning
Giulia Denevi · Dimitris Stamos · Carlo Ciliberto · Massimiliano Pontil
Spotlight
Wed 16:20 Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel · Erin Grant · Tom Griffiths · Katherine Heller
Poster
Tue 17:30 Meta-Learning Representations for Continual Learning
Khurram Javed · Martha White
Poster
Thu 10:45 Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging
Pooria Joulani · András György · Csaba Szepesvari
Poster
Wed 10:45 Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer
Arsenii Vanunts · Alexey Drutsa
Poster
Tue 10:45 Blocking Bandits
Soumya Basu · Rajat Sen · Sujay Sanghavi · Sanjay Shakkottai
Poster
Tue 10:45 Semi-Parametric Dynamic Contextual Pricing
Virag Shah · Ramesh Johari · Jose Blanchet
Poster
Tue 17:30 Thresholding Bandit with Optimal Aggregate Regret
Chao Tao · Saúl Blanco · Jian Peng · Yuan Zhou
Poster
Wed 17:00 Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization
Gautam Goel · Yiheng Lin · Haoyuan Sun · Adam Wierman
Poster
Thu 17:00 Online Forecasting of Total-Variation-bounded Sequences
Dheeraj Baby · Yu-Xiang Wang
Poster
Tue 17:30 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio
Julian Zimmert · Tor Lattimore
Spotlight
Wed 16:50 Optimal Stochastic and Online Learning with Individual Iterates
Yunwen Lei · Peng Yang · Ke Tang · Ding-Xuan Zhou