Co-occurring keywords · papers mentioning both
Papers
On Explore-Then-Commit strategies
NeurIPS 2016
Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies
JMLR 2015
Bandit Convex Optimization: \sqrtT Regret in One Dimension
COLT 2015
Minimax Fixed-Design Linear Regression
COLT 2015
Online Learning with Feedback Graphs: Beyond Bandits
COLT 2015
Second-order Quantile Methods for Experts and Combinatorial Games
COLT 2015
Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation
JMLR 2015
Near-Optimal Herding
COLT 2014
Online Learning with Composite Loss Functions
COLT 2014
Online Non-Parametric Regression
COLT 2014
On the Complexity of A/B Testing
COLT 2014
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction
ACML 2013
Minimax Optimal Algorithms for Unconstrained Linear Optimization
NeurIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes
NeurIPS 2013
Tight Bounds on Profile Redundancy and Distinguishability
NeurIPS 2012
Minimax Policies for Combinatorial Prediction Games
COLT 2011
Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments
COLT 2011
Minimax Regret Classifier for Imprecise Class Distributions
JMLR 2007