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Oral
Thu Jun 13 09:00 AM -- 09:20 AM (PDT) @ Room 102
Matrix-Free Preconditioning in Online Learning
Oral
Thu Jun 13 09:20 AM -- 09:25 AM (PDT) @ Room 102
Online Convex Optimization in Adversarial Markov Decision Processes
Oral
Thu Jun 13 09:25 AM -- 09:30 AM (PDT) @ Room 102
Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games
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Slides]
Oral
Thu Jun 13 09:30 AM -- 09:35 AM (PDT) @ Room 102
Online Learning with Sleeping Experts and Feedback Graphs
Oral
Thu Jun 13 09:35 AM -- 09:40 AM (PDT) @ Room 102
Incremental Randomized Sketching for Online Kernel Learning
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Slides]
Oral
Thu Jun 13 09:40 AM -- 10:00 AM (PDT) @ Room 102
Adaptive Scale-Invariant Online Algorithms for Learning Linear Models
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Oral]
Oral
Thu Jun 13 10:00 AM -- 10:05 AM (PDT) @ Room 102
Online Control with Adversarial Disturbances
Oral
Thu Jun 13 10:05 AM -- 10:10 AM (PDT) @ Room 102
Adversarial Online Learning with noise
Oral
Thu Jun 13 10:10 AM -- 10:15 AM (PDT) @ Room 102
Online Variance Reduction with Mixtures
Oral
Thu Jun 13 10:15 AM -- 10:20 AM (PDT) @ Room 102
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case