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Online Learning

1,084 papers

Papers per year

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23
36
87
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Papers

Minimizing Adaptive Regret with One Gradient per Iteration IJCAI 2018
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams IJCAI 2018
Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels IJCAI 2018
Online Kernel Selection via Incremental Sketched Kernel Alignment IJCAI 2018
Cost-aware Cascading Bandits IJCAI 2018
Advancements in Dueling Bandits IJCAI 2018
Steering Social Activity: A Stochastic Optimal Control Point Of View JMLR 2018
Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks JMLR 2018
Streaming kernel regression with provably adaptive mean, variance, and regularization JMLR 2018
Online multiclass boosting NIPS 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing NIPS 2017
Online Prediction with Selfish Experts NIPS 2017
Online control of the false discovery rate with decaying memory NIPS 2017
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem NIPS 2017
Parameter-Free Online Learning via Model Selection NIPS 2017
Efficient Online Linear Optimization with Approximation Algorithms NIPS 2017
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NIPS 2017
Position-based Multiple-play Bandit Problem with Unknown Position Bias NIPS 2017
Random Permutation Online Isotonic Regression NIPS 2017
Improved Dynamic Regret for Non-degenerate Functions NIPS 2017
Online Convex Optimization with Stochastic Constraints NIPS 2017
Learning Mixture of Gaussians with Streaming Data NIPS 2017
Streaming Sparse Gaussian Process Approximations NIPS 2017
Universal consistency and minimax rates for online Mondrian Forests NIPS 2017