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Online Learning

1,084 papers

Papers per year

1
23
36
87
38
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Papers

On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization NIPS 2012
Imitation Learning by Coaching NIPS 2012
No-Regret Algorithms for Unconstrained Online Convex Optimization NIPS 2012
Interpreting prediction markets: a stochastic approach NIPS 2012
Relax and Randomize : From Value to Algorithms NIPS 2012
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button NIPS 2012
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NIPS 2012
Tight Bounds on Profile Redundancy and Distinguishability NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Risk-Aversion in Multi-armed Bandits NIPS 2012
Mirror Descent Meets Fixed Share (and feels no regret) NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NIPS 2012
Confusion-Based Online Learning and a Passive-Aggressive Scheme NIPS 2012
Online L1-Dictionary Learning with Application to Novel Document Detection NIPS 2012
Online allocation and homogeneous partitioning for piecewise constant mean-approximation NIPS 2012
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NIPS 2012
Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012
Online Rank Aggregation ACML 2012
Online Clustering with Experts AISTATS 2012
Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012
The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012
Beyond Logarithmic Bounds in Online Learning AISTATS 2012
Multi-armed Bandit Problems with History AISTATS 2012