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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

Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency CVPR 2016
Using Kernel Methods and Model Selection for Prediction of Preterm Birth MLHC 2016
Coresets for Scalable Bayesian Logistic Regression NIPS 2016
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm JMLR 2016
The Teaching Dimension of Linear Learners JMLR 2016
Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization AISTATS 2016
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification PGM 2016
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization ACML 2016
Mispronunciation Detection Leveraging Maximum Performance Criterion Training of Acoustic Models and Decision Functions INTERSPEECH 2016
Inter-Task System Fusion for Speaker Recognition INTERSPEECH 2016
Combining State-Level Spotting and Posterior-Based Acoustic Match for Improved Query-by-Example Spoken Term Detection INTERSPEECH 2016
Modeling Discourse Segments in Lyrics Using Repeated Patterns COLING 2016
Improved Dropout for Shallow and Deep Learning NIPS 2016
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016
Online Stochastic Linear Optimization under One-bit Feedback ICML 2016
Fast Classification Rates for High-dimensional Gaussian Generative Models NIPS 2015
Competing with the Empirical Risk Minimizer in a Single Pass COLT 2015
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015
\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data NIPS 2015
Fast Rates for Exp-concave Empirical Risk Minimization NIPS 2015
Distributionally Robust Logistic Regression NIPS 2015
Data-Guided Approach for Learning and Improving User Experience in Computer Networks ACML 2015
GAP Safe screening rules for sparse multi-task and multi-class models NIPS 2015