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Active Learning

1,911 papers

Papers per year

4
20
39
156
120
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Papers

PAC-Bayesian Analysis of Contextual Bandits NIPS 2011
Online Learning: Stochastic, Constrained, and Smoothed Adversaries NIPS 2011
Active Ranking using Pairwise Comparisons NIPS 2011
Multi-armed bandits on implicit metric spaces NIPS 2011
Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity NIPS 2011
Finite Time Analysis of Stratified Sampling for Monte Carlo NIPS 2011
Online Submodular Set Cover, Ranking, and Repeated Active Learning NIPS 2011
Multi-Bandit Best Arm Identification NIPS 2011
Iterative Learning for Reliable Crowdsourcing Systems NIPS 2011
Selective Prediction of Financial Trends with Hidden Markov Models NIPS 2011
Multi-label Active Learning with Auxiliary Learner ACML 2011
Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach AISTATS 2011
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities AISTATS 2011
Online Learning of Multiple Tasks and Their Relationships AISTATS 2011
Active Boosted Learning (ActBoost) AISTATS 2011
The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011
Models of Cooperative Teaching and Learning JMLR 2011
Smoothness, Disagreement Coefficient, and the Label Complexity of Agnostic Active Learning JMLR 2011
Efficient Learning with Partially Observed Attributes JMLR 2011
Agnostic Active Learning Without Constraints NIPS 2010
Supervised Clustering NIPS 2010
Near-Optimal Bayesian Active Learning with Noisy Observations NIPS 2010
Trading off Mistakes and Don't-Know Predictions NIPS 2010
Multi-View Active Learning in the Non-Realizable Case NIPS 2010
Gaussian Process Preference Elicitation NIPS 2010