Jon Schneider

13

Papers

3

Total Citations

Papers (13)

High-Dimensional Calibration from Swap Regret

Best of Both Worlds: Regret Minimization versus Minimax Play

Online Learning with Bounded Recall

Contextual Pricing for Lipschitz Buyers

Contextual Bandits with Cross-Learning

Strategizing against No-regret Learners

Prior-Free Dynamic Auctions with Low Regret Buyers

Myersonian Regression

Contextual Recommendations and Low-Regret Cutting-Plane Algorithms

Margin-Independent Online Multiclass Learning via Convex Geometry

Anonymous Bandits for Multi-User Systems

Optimal cross-learning for contextual bandits with unknown context distributions

Is Learning in Games Good for the Learners?