logistic regression

Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014 Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014 Efficient Transfer Learning Method for Automatic Hyperparameter Tuning AISTATS 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014 Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014 Robust Logistic Regression and Classification NeurIPS 2014 Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting JMLR 2013 Distributed training of Large-scale Logistic models ICML 2013 Learning SURF Cascade for Fast and Accurate Object Detection CVPR 2013 Multicategory Large-Margin Unified Machines JMLR 2013 Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NeurIPS 2013 Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013 Structured Learning via Logistic Regression NeurIPS 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 An Improved GLMNET for L1-regularized Logistic Regression JMLR 2012 Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012 CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012 Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012 Probabilistic n-Choose-k Models for Classification and Ranking NeurIPS 2012 Confidence Sets for Network Structure NeurIPS 2011 Group Orthogonal Matching Pursuit for Logistic Regression AISTATS 2011 Hashing Algorithms for Large-Scale Learning NeurIPS 2011