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logistic regression

382 papers

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Also known as

LRC LOGREG LR

Co-occurring keywords

support vector machine (976) text classification (6776) convex optimization (1320) random forest (325) naive baye (56) linear regression (281) binary classification (674) stochastic optimization (1060) ensemble learning (1271) gradient descent (1143)

Papers

Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent RSS 2015
Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014
Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014
Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014
Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014
Communication Efficient Distributed Machine Learning with the Parameter Server NIPS 2014
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014
Robust Logistic Regression and Classification NIPS 2014
Adaptivity of Averaged Stochastic Gradient Descent to Local Strong Convexity for Logistic Regression JMLR 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014
Efficient Transfer Learning Method for Automatic Hyperparameter Tuning AISTATS 2014
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NIPS 2013
Distributed training of Large-scale Logistic models ICML 2013
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting JMLR 2013
Multicategory Large-Margin Unified Machines JMLR 2013
Learning SURF Cascade for Fast and Accurate Object Detection CVPR 2013
Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013
Structured Learning via Logistic Regression NIPS 2013
Variance Reduction for Stochastic Gradient Optimization NIPS 2013
Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012
An Improved GLMNET for L1-regularized Logistic Regression JMLR 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012