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online learning

1770 papers

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Also known as

OLO OL

Co-occurring keywords

regret bound (1918) multi-armed bandit (1091) stochastic optimization (1060) regret minimization (315) contextual bandit (379) reinforcement learning (4122) online algorithm (444) convex optimization (1320) adversarial learning (1592) continual learning (1164)

Papers

Online learning with feedback graphs and switching costs AISTATS 2019
Large Scale Markov Decision Processes with Changing Rewards NIPS 2019
MaxHedge: Maximizing a Maximum Online AISTATS 2019
Projection Free Online Learning over Smooth Sets AISTATS 2019
Scalable Recollections for Continual Lifelong Learning AAAI 2019
Learning Resource Allocation and Pricing for Cloud Profit Maximization AAAI 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization ICML 2019
A Generalization Bound for Online Variational Inference ACML 2019
Accelerating Imitation Learning with Predictive Models AISTATS 2019
An Online Learning Approach to Model Predictive Control RSS 2019
Improved Regret Bounds for Bandit Combinatorial Optimization NIPS 2019
Efficient Linear Bandits through Matrix Sketching AISTATS 2019
Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity AISTATS 2019
Convergence of Value Aggregation for Imitation Learning AISTATS 2018
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates ICML 2018
The Everlasting Database: Statistical Validity at a Fair Price NIPS 2018
Online Convolutional Sparse Coding with Sample-Dependent Dictionary ICML 2018
Online Reciprocal Recommendation with Theoretical Performance Guarantees NIPS 2018
Efficient Online Scalar Annotation with Bounded Support ACL 2018
Acceleration through Optimistic No-Regret Dynamics NIPS 2018
Learning with Abandonment ICML 2018
Infinite-Horizon Gaussian Processes NIPS 2018
Small-loss bounds for online learning with partial information COLT 2018
Constant Regret, Generalized Mixability, and Mirror Descent NIPS 2018
Learning from discriminative feature feedback NIPS 2018