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Online Learning

1012 directly classified papers

Papers per year

Papers

Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions NIPS 2022
Online Nonnegative CP-dictionary Learning for Markovian Data JMLR 2022
Trading Off Resource Budgets For Improved Regret Bounds NIPS 2022
Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces AAAI 2022
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness ICML 2022
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits ICML 2022
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback NIPS 2022
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets NIPS 2022
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness NIPS 2022
Online PAC-Bayes Learning NIPS 2022
Alternative Microfoundations for Strategic Classification ICML 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent ICML 2021
Network Inference and Influence Maximization from Samples ICML 2021
Dynamic Balancing for Model Selection in Bandits and RL ICML 2021
Online Learning with Optimism and Delay ICML 2021
Fast Learning for Renewal Optimization in Online Task Scheduling JMLR 2021
Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021
Individual Fairness in Hindsight JMLR 2021
Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification EMNLP 2021
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge NIPS 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning JMLR 2021
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NIPS 2021
Stochastic Online Optimization using Kalman Recursion JMLR 2021
ARDL - A Library for Adaptive Robotic Dynamics Learning L4DC 2021
A Contextual Bandit Bake-off JMLR 2021