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Online Learning

1012 directly classified papers

Papers per year

Papers

Fast rates for prediction with limited expert advice NIPS 2021
Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs L4DC 2021
Context-Aware Online Collective Inference for Templated Graphical Models ICML 2021
Design of Experiments for Stochastic Contextual Linear Bandits NIPS 2021
Mixability made efficient: Fast online multiclass logistic regression NIPS 2021
Robust Learning-Augmented Caching: An Experimental Study ICML 2021
Sparsity-Agnostic Lasso Bandit ICML 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021
Best-case lower bounds in online learning NIPS 2021
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games ICML 2021
Bandits with many optimal arms NIPS 2021
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge NIPS 2021
Scheduling jobs with stochastic holding costs NIPS 2021
Stochastic bandits with groups of similar arms. NIPS 2021
An Online Sequential Test for Qualitative Treatment Effects JMLR 2021
Dueling Bandits with Team Comparisons NIPS 2021
Dynamic Planning and Learning under Recovering Rewards ICML 2021
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination NIPS 2021
An online passive-aggressive algorithm for difference-of-squares classification NIPS 2021
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NIPS 2021
Locality Sensitive Teaching NIPS 2021
Learning to Price Against a Moving Target ICML 2021
A Unified Approach to Fair Online Learning via Blackwell Approachability NIPS 2021