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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

Selective Sampling and Active Learning from Single and Multiple Teachers JMLR 2012
An Introduction to Artificial Prediction Markets for Classification JMLR 2012
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NIPS 2012
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NIPS 2012
Optimistic Bayesian Sampling in Contextual-Bandit Problems JMLR 2012
Confidence-Weighted Linear Classification for Text Categorization JMLR 2012
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
Multi Kernel Learning with Online-Batch Optimization JMLR 2012
Online L1-Dictionary Learning with Application to Novel Document Detection NIPS 2012
Confusion-Based Online Learning and a Passive-Aggressive Scheme NIPS 2012
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
No-Regret Algorithms for Unconstrained Online Convex Optimization NIPS 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Online allocation and homogeneous partitioning for piecewise constant mean-approximation NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Transferring Expectations in Model-based Reinforcement Learning NIPS 2012
Beyond Logarithmic Bounds in Online Learning AISTATS 2012
No Internal Regret via Neighborhood Watch AISTATS 2012
Learning Valuation Functions COLT 2012
Consistency of Nearest Neighbor Classification under Selective Sampling COLT 2012
Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012
Gradient Weights help Nonparametric Regressors NIPS 2012
New Bounds for Learning Intervals with Implications for Semi-Supervised Learning COLT 2012