conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Online Algorithms

806 papers

Papers per year

6
24
87
21
'10
'15
'20
'25

Papers

Online Estimation via Offline Estimation: An Information-Theoretic Framework NIPS 2024
Tight Rates for Bandit Control Beyond Quadratics NIPS 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems NIPS 2024
Contextual Active Model Selection NIPS 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning NIPS 2024
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NIPS 2024
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NIPS 2024
Online Classification with Predictions NIPS 2024
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting 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
Stochastic contextual bandits with graph feedback: from independence number to MAS number NIPS 2024
Reinforcement Learning with Lookahead Information NIPS 2024
The Limits of Differential Privacy in Online Learning NIPS 2024
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis 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
Learning from Snapshots of Discrete and Continuous Data Streams NIPS 2024
Bandits with Ranking Feedback NIPS 2024
Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions NIPS 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NIPS 2024
The Value of Reward Lookahead in Reinforcement Learning NIPS 2024