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Online Algorithms

806 papers

Papers per year

6
24
87
21
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Papers

Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback NIPS 2022
Efficient Methods for Non-stationary Online Learning NIPS 2022
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets NIPS 2022
The price of unfairness in linear bandits with biased feedback NIPS 2022
On Elimination Strategies for Bandit Fixed-Confidence Identification NIPS 2022
Algorithms with Prediction Portfolios NIPS 2022
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget NIPS 2022
Dynamic Learning in Large Matching Markets NIPS 2022
Non-convex online learning via algorithmic equivalence NIPS 2022
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent NIPS 2022
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality NIPS 2022
Luckiness in Multiscale Online Learning NIPS 2022
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm NIPS 2022
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem NIPS 2022
On Efficient Online Imitation Learning via Classification NIPS 2022
A Regret-Variance Trade-Off in Online Learning NIPS 2022
Alternating Mirror Descent for Constrained Min-Max Games NIPS 2022
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency AAAI 2022
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022
Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles AAAI 2022
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons ACL 2022
k-experts - Online Policies and Fundamental Limits AISTATS 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond AISTATS 2022
Nonstochastic Bandits and Experts with Arm-Dependent Delays AISTATS 2022
Non-stationary Online Learning with Memory and Non-stochastic Control AISTATS 2022