Co-occurring keywords · papers mentioning both
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