combinatorial bandit

Avoiding exp($k^*$) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: From Multiple Seeds to a Single Seed COLT 2026 Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences UAI 2026 On the Sublinear Regret of Continuous K-Max Bandits UAI 2026 ADAM Optimization with Adaptive Batch Selection ICLR 2025 Bayesian Analysis of Combinatorial Gaussian Process Bandits ICLR 2025 Neural Combinatorial Clustered Bandits for Recommendation Systems AAAI 2025 Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback ICLR 2024 Sum-max Submodular Bandits AISTATS 2024 Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NeurIPS 2024 Additive Causal Bandits with Unknown Graph ICML 2023 Cascading Contextual Assortment Bandits NeurIPS 2023 Combinatorial categorized bandits with expert rankings UAI 2023 Combinatorial Neural Bandits ICML 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023 Interactive Learning with Pricing for Optimal and Stable Allocations in Markets AISTATS 2023 Nonstochastic Contextual Combinatorial Bandits AISTATS 2023 Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback AISTATS 2023 Incentivizing Combinatorial Bandit Exploration NeurIPS 2022 Ranked Prioritization of Groups in Combinatorial Bandit Allocation IJCAI 2022 Thompson Sampling for (Combinatorial) Pure Exploration ICML 2022 Adversarial Combinatorial Bandits with General Non-linear Reward Functions ICML 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits AAAI 2021 Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback ALT 2021 Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback ALT 2021