Co-occurring keywords · papers mentioning both
Papers
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes
AISTATS 2018
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
NeurIPS 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
NeurIPS 2018
Nonstochastic Bandits with Composite Anonymous Feedback
COLT 2018
Normal Bandits of Unknown Means and Variances
JMLR 2018
Online Continuous Submodular Maximization
AISTATS 2018
Online convex optimization for cumulative constraints
NeurIPS 2018
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments
AISTATS 2018
Online Improper Learning with an Approximation Oracle
NeurIPS 2018
Online Kernel Selection via Incremental Sketched Kernel Alignment
IJCAI 2018
Online Learning of Combinatorial Objects via Extended Formulation
ALT 2018
Online learning over a finite action set with limited switching
COLT 2018
Online Learning: Sufficient Statistics and the Burkholder Method
COLT 2018
Online Learning with Abstention
ICML 2018
Online Learning with Non-Convex Losses and Non-Stationary Regret
AISTATS 2018
Online Linear Quadratic Control
ICML 2018
Parallelised Bayesian Optimisation via Thompson Sampling
AISTATS 2018
Practical Contextual Bandits with Regression Oracles
ICML 2018
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs
ICML 2018
Profitable Bandits
ACML 2018
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity
ICML 2018
Refining the Confidence Level for Optimistic Bandit Strategies
JMLR 2018
Regional Multi-Armed Bandits
AISTATS 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
NeurIPS 2018
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint
NeurIPS 2018