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

Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NIPS 2012
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011
Empirical models of spiking in neural populations NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NIPS 2011
Group Orthogonal Matching Pursuit for Logistic Regression AISTATS 2011
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models NIPS 2010
Parametric Bandits: The Generalized Linear Case NIPS 2010
Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NIPS 2009
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model JMLR 2009
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Active learning for misspecified generalized linear models NIPS 2006