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Poster
Wed 18:30 Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
Julian Zimmert · Haipeng Luo · Chen-Yu Wei
Oral
Thu 16:25 Exploiting structure of uncertainty for efficient matroid semi-bandits
Pierre Perrault · Vianney Perchet · Michal Valko
Poster
Thu 18:30 Exploiting structure of uncertainty for efficient matroid semi-bandits
Pierre Perrault · Vianney Perchet · Michal Valko
Oral
Wed 11:40 Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
Julian Zimmert · Haipeng Luo · Chen-Yu Wei
Poster
Thu 18:30 Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
Chicheng Zhang · Alekh Agarwal · Hal Daumé III · John Langford · Sahand Negahban
Oral
Thu 16:20 Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
Chicheng Zhang · Alekh Agarwal · Hal Daumé III · John Langford · Sahand Negahban
Poster
Tue 18:30 Bayesian Counterfactual Risk Minimization
Ben London · Ted Sandler
Poster
Wed 18:30 Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments
Kirthevasan Kandasamy · Willie Neiswanger · Reed Zhang · Akshay Krishnamurthy · Jeff Schneider · Barnabás Póczos
Oral
Thu 16:00 Decentralized Exploration in Multi-Armed Bandits
Raphaël Féraud · REDA ALAMI · Romain Laroche
Poster
Thu 18:30 Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
Martin Zhang · James Zou · David Tse
Poster
Tue 18:30 Online learning with kernel losses
Niladri Chatterji · Aldo Pacchiano · Peter Bartlett
Poster
Thu 18:30 Adversarial Online Learning with noise
Alon Resler · Yishay Mansour