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logistic regression

407 papers

LOGREG LR

Papers

Mispronunciation Detection Leveraging Maximum Performance Criterion Training of Acoustic Models and Decision Functions Interspeech 2016 Modeling Discourse Segments in Lyrics Using Repeated Patterns COLING 2016 On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification PGM 2016 Online Stochastic Linear Optimization under One-bit Feedback ICML 2016 Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization AISTATS 2016 Pronunciation Assessment of Japanese Learners of French with GOP Scores and Phonetic Information Interspeech 2016 Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization ACML 2016 The Teaching Dimension of Linear Learners ICML 2016 The Teaching Dimension of Linear Learners JMLR 2016 Using Kernel Methods and Model Selection for Prediction of Preterm Birth MLHC 2016 Competing with the Empirical Risk Minimizer in a Single Pass COLT 2015 Data-Guided Approach for Learning and Improving User Experience in Computer Networks ACML 2015 DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015 Distributionally Robust Logistic Regression NeurIPS 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015 Fast Classification Rates for High-dimensional Gaussian Generative Models NeurIPS 2015 Fast Rates for Exp-concave Empirical Risk Minimization NeurIPS 2015 GAP Safe screening rules for sparse multi-task and multi-class models NeurIPS 2015 Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent RSS 2015 PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015 Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data NeurIPS 2015 Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014 Adaptivity of Averaged Stochastic Gradient Descent to Local Strong Convexity for Logistic Regression JMLR 2014 Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014 Communication Efficient Distributed Machine Learning with the Parameter Server NeurIPS 2014