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Online Algorithms

2,192 papers

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Papers

An engine not a camera: Measuring performative power of online search NIPS 2024
Multiclass Transductive Online Learning NIPS 2024
Real-Time Selection Under General Constraints via Predictive Inference NIPS 2024
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice NIPS 2024
Reinforcement Learning with Lookahead Information NIPS 2024
Queueing Matching Bandits with Preference Feedback NIPS 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024
Convergence of No-Swap-Regret Dynamics in Self-Play NIPS 2024
Online Bayesian Persuasion Without a Clue NIPS 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NIPS 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously NIPS 2024
Online Weighted Paging with Unknown Weights NIPS 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process NIPS 2024
Learning from Snapshots of Discrete and Continuous Data Streams NIPS 2024
Bandits with Ranking Feedback NIPS 2024
Monoculture in Matching Markets NIPS 2024
Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions NIPS 2024
Sample Complexity of Posted Pricing for a Single Item NIPS 2024
The Value of Reward Lookahead in Reinforcement Learning NIPS 2024
How Does Variance Shape the Regret in Contextual Bandits? NIPS 2024
PRODuctive bandits: Importance Weighting No More NIPS 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data NIPS 2024
Disentangling Linear Quadratic Control with Untrusted ML Predictions NIPS 2024
Contextual Decision-Making with Knapsacks Beyond the Worst Case NIPS 2024