Classification

A Convergence Analysis of Log-Linear Training NeurIPS 2011 Active Boosted Learning (ActBoost) AISTATS 2011 Active Classification based on Value of Classifier NeurIPS 2011 Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity NeurIPS 2011 Active Ranking using Pairwise Comparisons NeurIPS 2011 Advice Refinement in Knowledge-Based SVMs NeurIPS 2011 Agnostic Selective Classification NeurIPS 2011 Algorithms and hardness results for parallel large margin learning NeurIPS 2011 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 A More Powerful Two-Sample Test in High Dimensions using Random Projection NeurIPS 2011 An Exact Algorithm for F-Measure Maximization NeurIPS 2011 A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011 A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011 Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening AISTATS 2011 Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011 Bayesian Co-Training JMLR 2011 Beating SGD: Learning SVMs in Sublinear Time NeurIPS 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NeurIPS 2011 Composite Multiclass Losses NeurIPS 2011 Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information ACML 2011 Confidence Sets for Network Structure NeurIPS 2011 Deep Learning for Efficient Discriminative Parsing AISTATS 2011 Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood JMLR 2011 Double Updating Online Learning JMLR 2011