conftrace_

multi-armed bandit

1098 papers

Explore in graph

Also known as

MAB

Co-occurring keywords

regret bound (1926) online learning (1777) stochastic optimization (1060) thompson sampling (237) upper confidence bound (197) regret minimization (315) online algorithm (445) sample complexity (1169) contextual bandit (381) best arm identification (85)

Papers

Quantum Best Arm Identification with Quantum Oracles AAAI 2025
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints AAAI 2025
Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback IJCAI 2025
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning AAAI 2025
Imprecise Multi-Armed Bandits: Representing Irreducible Uncertainty as a Zero-Sum Game JMLR 2025
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025
Heterogeneous Multi-Agent Bandits with Parsimonious Hints AAAI 2025
Contextual Bandits with Stage-wise Constraints JMLR 2025
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems IJCAI 2025
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning AAAI 2025
Multi-Objective Neural Bandits with Random Scalarization IJCAI 2025
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents AAAI 2025
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting AAAI 2025
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification AAAI 2025
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap AAAI 2025
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits AAAI 2025
p-Mean Regret for Stochastic Bandits AAAI 2025
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025
MutantPrompt: Prompt Optimization via Mutation Under a Budget on Modest-sized LMs ACL 2025
A Survey on Bandit Learning in Matching Markets IJCAI 2025
Multi-player Multi-armed Bandits with Delayed Feedback IJCAI 2025
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs AAAI 2025
ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs EMNLP 2025
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs JMLR 2025
Delay as Payoff in MAB AAAI 2025