generalized linear model

Scaled Least Squares Estimator for GLMs in Large-Scale Problems NeurIPS 2016 Closed-form Estimators for High-dimensional Generalized Linear Models NeurIPS 2015 Convergence Rates of Active Learning for Maximum Likelihood Estimation NeurIPS 2015 GAP Safe screening rules for sparse multi-task and multi-class models NeurIPS 2015 Generalized Linear Models for Aggregated Data AISTATS 2015 High-dimensional neural spike train analysis with generalized count linear dynamical systems NeurIPS 2015 Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NeurIPS 2015 Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015 A Bayesian model for identifying hierarchically organised states in neural population activity NeurIPS 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions JMLR 2014 Estimation with Norm Regularization NeurIPS 2014 Inferring synaptic conductances from spike trains with a biophysically inspired point process model NeurIPS 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 Optimal learners for multiclass problems COLT 2014 Statistical analysis of stochastic gradient methods for generalized linear models ICML 2014 A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NeurIPS 2013 Dropout Training as Adaptive Regularization NeurIPS 2013 Affine Independent Variational Inference NeurIPS 2012 glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NeurIPS 2012 Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011 Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NeurIPS 2011 Empirical models of spiking in neural populations NeurIPS 2011