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Online Learning

1,084 papers

Papers per year

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Papers

Learning to Price Against a Moving Target ICML 2021
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning ICML 2021
Joint Online Learning and Decision-making via Dual Mirror Descent ICML 2021
No-regret Algorithms for Capturing Events in Poisson Point Processes ICML 2021
Sparsity-Agnostic Lasso Bandit ICML 2021
Dynamic Planning and Learning under Recovering Rewards ICML 2021
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift ICML 2021
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond ICML 2021
Learner-Private Convex Optimization ICML 2021
Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021
Towards Reducing Biases in Combining Multiple Experts Online IJCAI 2021
Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward IJCAI 2021
Online Learning of Action Models for PDDL Planning IJCAI 2021
AutoBandit: A Meta Bandit Online Learning System IJCAI 2021
Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks JMLR 2021
Prediction against a limited adversary JMLR 2021
Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes JMLR 2021
A Contextual Bandit Bake-off JMLR 2021
Individual Fairness in Hindsight JMLR 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning JMLR 2021
Stochastic Online Optimization using Kalman Recursion JMLR 2021
Fast Learning for Renewal Optimization in Online Task Scheduling JMLR 2021
An Online Sequential Test for Qualitative Treatment Effects JMLR 2021
Regret Bounds for Adaptive Nonlinear Control L4DC 2021