Co-occurring keywords · papers mentioning both
Papers
Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning
UAI 2026
Extreme Value Monte Carlo Tree Search for Classical Planning
AAAI 2026
Fast Best-in-Class Regret for Contextual Bandits
UAI 2026
Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences
UAI 2026
Federated Linear Dueling Bandits
AAAI 2026
Finite-Sample Regret Analysis of Nash Q-Learning with Random-Feature Approximation
UAI 2026
Flickering Multi-Armed Bandits
L4DC 2026
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T-Regret
L4DC 2026
Gradient-Variation Regret Bounds for Unconstrained Online Learning
COLT 2026
Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference
UAI 2026
How to Set β_1, β_2 in Adam: An Online Learning Perspective
ALT 2026
Improved Regret in Stochastic Decision-Theoretic Online Learning under Differential Privacy
ALT 2026
Learning-based Optimal Admission Control for Erlang-B Queuing Systems
UAI 2026
Learning Periodic Strategies in Blocking Bandits Is as Hard as Bandits with Switching Costs
COLT 2026
Leveraging Similarities in Multi-Armed Bandits
COLT 2026
Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits?
UAI 2026
Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
AAAI 2026
Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach
COLT 2026
Neural Exploitation and Exploration of Contextual Bandits
JMLR 2026
Omniprediction with Long-Term Constraints
COLT 2026
Online Caching in Tree Networks: Algorithms, Regret, and Complexity
L4DC 2026
Online Convex Optimization with Heavy Tails: Old Algorithms, New Regrets, and Applications
ALT 2026
Online Convex Optimization with Sublinear Noisy Probes
COLT 2026
Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes
L4DC 2026
Online Linear Regression with Paid Stochastic Features
AAAI 2026