conftrace_

generalized linear model

138 papers

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Also known as

GLM

Co-occurring keywords

bayesian inference (1907) regret bound (1926) maximum likelihood estimation (233) logistic regression (386) high-dimensional statistics (145) maximum likelihood (255) approximate message passing (39) online learning (1777) variable selection (146) differential privacy (1016)

Papers

Generalized Linear Model Regression under Distance-to-set Penalties NIPS 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NIPS 2017
Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems NIPS 2017
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models AISTATS 2016
Primal-Dual Rates and Certificates ICML 2016
Bayesian latent structure discovery from multi-neuron recordings NIPS 2016
Scaled Least Squares Estimator for GLMs in Large-Scale Problems NIPS 2016
Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma JMLR 2016
Closed-form Estimators for High-dimensional Generalized Linear Models NIPS 2015
Generalized Linear Models for Aggregated Data AISTATS 2015
Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NIPS 2015
Convergence Rates of Active Learning for Maximum Likelihood Estimation NIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems NIPS 2015
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions JMLR 2014
A framework for studying synaptic plasticity with neural spike train data NIPS 2014
Statistical analysis of stochastic gradient methods for generalized linear models ICML 2014
Optimal learners for multiclass problems COLT 2014
A Bayesian model for identifying hierarchically organised states in neural population activity NIPS 2014
Inferring synaptic conductances from spike trains with a biophysically inspired point process model NIPS 2014
Dropout Training as Adaptive Regularization NIPS 2013
glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012
Affine Independent Variational Inference NIPS 2012
Graphical Models via Generalized Linear Models NIPS 2012