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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 Adaptive Methods, Universality and Acceleration NIPS 2018
Online Improper Learning with an Approximation Oracle NIPS 2018
Online Summarization via Submodular and Convex Optimization CVPR 2017
OnACID: Online Analysis of Calcium Imaging Data in Real Time NIPS 2017
Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift IJCAI 2017
On-line Dialogue Policy Learning with Companion Teaching EACL 2017
A Practical Perspective on Latent Structured Prediction for Coreference Resolution EACL 2017
Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm EACL 2017
Projection-free Distributed Online Learning in Networks ICML 2017
Model-Independent Online Learning for Influence Maximization ICML 2017
Online Learning with Local Permutations and Delayed Feedback ICML 2017
Adapting Kernel Representations Online Using Submodular Maximization ICML 2017
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP ICML 2017
Second-Order Kernel Online Convex Optimization with Adaptive Sketching ICML 2017
Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection CORL 2017
Lazifying Conditional Gradient Algorithms ICML 2017
Emulating the Expert: Inverse Optimization through Online Learning ICML 2017
Online Learning Without Prior Information COLT 2017
Fast rates for online learning in Linearly Solvable Markov Decision Processes COLT 2017
The Price of Differential Privacy for Online Learning ICML 2017
Learning Theory for Conditional Risk Minimization AISTATS 2017
Regret Bounds for Lifelong Learning AISTATS 2017
Stochastic Rank-1 Bandits AISTATS 2017
Gradient Boosting on Stochastic Data Streams AISTATS 2017
Online Learning and Blackwell Approachability with Partial Monitoring: Optimal Convergence Rates AISTATS 2017