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Poster
Thu 18:30 Anytime Online-to-Batch, Optimism and Acceleration
Ashok Cutkosky
Oral
Tue 11:35 Online Meta-Learning
Chelsea Finn · Aravind Rajeswaran · Sham Kakade · Sergey Levine
Poster
Tue 18:30 Online Meta-Learning
Chelsea Finn · Aravind Rajeswaran · Sham Kakade · Sergey Levine
Oral
Wed 12:05 Online Learning to Rank with Features
Shuai Li · Tor Lattimore · Csaba Szepesvari
Poster
Thu 18:30 Pareto Optimal Streaming Unsupervised Classification
Soumya Basu · Steven Gutstein · Brent Lance · Sanjay Shakkottai
Poster
Thu 18:30 Scale-free adaptive planning for deterministic dynamics & discounted rewards
Peter Bartlett · Victor Gabillon · Jennifer Healey · Michal Valko
Poster
Thu 18:30 Online Control with Adversarial Disturbances
Naman Agarwal · Brian Bullins · Elad Hazan · Sham Kakade · Karan Singh
Poster
Wed 18:30 Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
Julian Zimmert · Haipeng Luo · Chen-Yu Wei
Oral
Thu 9:35 Incremental Randomized Sketching for Online Kernel Learning
Xiao Zhang · Shizhong Liao
Poster
Thu 18:30 Online Algorithms for Rent-Or-Buy with Expert Advice
Sreenivas Gollapudi · Debmalya Panigrahi
Poster
Wed 18:30 Online Learning to Rank with Features
Shuai Li · Tor Lattimore · Csaba Szepesvari
Poster
Thu 18:30 POLITEX: Regret Bounds for Policy Iteration using Expert Prediction
Yasin Abbasi-Yadkori · Peter Bartlett · Kush Bhatia · Nevena Lazic · Csaba Szepesvari · Gellért Weisz