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Dec. 6, 2020 Expo schedule » New in ML »

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Indicates the beginning of a session

 Wed Dec 09, 2020

Time Orals & Spotlights: Learning Theory
06:00 PM (Orals)
Orals & Spotlights Track 24: Learning Theory
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method
06:15 PM (Orals)
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
06:30 PM (Orals)
Worst-Case Analysis for Randomly Collected Data
07:00 PM (Spotlights)
On Adaptive Distance Estimation
07:10 PM (Spotlights)
Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits
07:20 PM (Spotlights)
Delay and Cooperation in Nonstochastic Linear Bandits
07:30 PM (Spotlights)
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
07:50 PM (Spotlights)
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
08:00 PM (Spotlights)
A Tight Lower Bound and Efficient Reduction for Swap Regret
08:10 PM (Spotlights)
Estimation of Skill Distribution from a Tournament
08:20 PM (Spotlights)
Optimal Prediction of the Number of Unseen Species with Multiplicity
08:30 PM (Spotlights)
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks