conftrace_

regret bound

1926 papers

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Also known as

RB

Co-occurring keywords

online learning (1777) multi-armed bandit (1098) contextual bandit (381) stochastic optimization (1060) reinforcement learning (4352) online algorithm (445) upper confidence bound (197) markov decision process (790) thompson sampling (237) online convex optimization (165)

Papers

Learning Rate Schedules in the Presence of Distribution Shift ICML 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023
Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023
Unconstrained Online Learning with Unbounded Losses ICML 2023
Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023
Thompson Sampling with Less Exploration is Fast and Optimal ICML 2023
Optimistic Whittle Index Policy: Online Learning for Restless Bandits AAAI 2023
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023
Improved Kernel Alignment Regret Bound for Online Kernel Learning AAAI 2023
Stochastic Contextual Bandits with Long Horizon Rewards AAAI 2023
On-Demand Communication for Asynchronous Multi-Agent Bandits AISTATS 2023
Gradient-Variation Bound for Online Convex Optimization with Constraints AAAI 2023
Federated Online and Bandit Convex Optimization ICML 2023
Infinite Action Contextual Bandits with Reusable Data Exhaust ICML 2023
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits AAAI 2023
Heavy-tailed linear bandit with Huber regression UAI 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023
Concurrent Shuffle Differential Privacy Under Continual Observation ICML 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits AISTATS 2023
Learning to Bid in Repeated First-Price Auctions with Budgets ICML 2023
Doubly Adversarial Federated Bandits ICML 2023
Sequential Counterfactual Risk Minimization ICML 2023
Risk-aware linear bandits with convex loss AISTATS 2023
Benefits of monotonicity in safe exploration with Gaussian processes UAI 2023