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Methodology
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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
Discovering, Learning and Exploiting Relevance
NIPS 2014
Online Learning in Markov Decision Processes with Changing Cost Sequences
ICML 2014
Pursuit-Evasion Without Regret, with an Application to Trading
ICML 2014
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
ICML 2014
Variational Gaussian Process State-Space Models
NIPS 2014
Efficient learning by implicit exploration in bandit problems with side observations
NIPS 2014
Learning the Learning Rate for Prediction with Expert Advice
NIPS 2014
Efficient Partial Monitoring with Prior Information
NIPS 2014
LIBOL: A Library for Online Learning Algorithms
JMLR 2014
Ensemble Methods for Structured Prediction
ICML 2014
Online Object Tracking, Learning and Parsing with And-Or Graphs
CVPR 2014
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications
ICML 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
NIPS 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
NIPS 2014
Cover Tree Bayesian Reinforcement Learning
JMLR 2014
Follow the Leader If You Can, Hedge If You Must
JMLR 2014
(Near) Dimension Independent Risk Bounds for Differentially Private Learning
ICML 2014
Online combinatorial optimization with stochastic decision sets and adversarial losses
NIPS 2014
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
NIPS 2014
Incremental Clustering: The Case for Extra Clusters
NIPS 2014
Doubly Aggressive Selective Sampling Algorithms for Classification
AISTATS 2014
The Blinded Bandit: Learning with Adaptive Feedback
NIPS 2014
Bandit Convex Optimization: Towards Tight Bounds
NIPS 2014
Learning Multiple Tasks in Parallel with a Shared Annotator
NIPS 2014
A Drifting-Games Analysis for Online Learning and Applications to Boosting
NIPS 2014
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