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probit regression

7 papers

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Co-occurring keywords · papers mentioning both

bayesian inference (4) auxiliary variable (2) markov chain monte carlo (2) logistic regression (2) variational inference (2) sketching technique (1) p-generalized normal distribution (1) variational baye (1) iterative hard thresholding (1) aggregation function (1)

Papers

Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression JMLR 2026 Learning sparse generalized linear models with binary outcomes via iterative hard thresholding COLT 2025 p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets AISTATS 2022 A Theoretical and Practical Framework for Regression and Classification from Truncated Samples AISTATS 2020 Variational Consensus Monte Carlo NeurIPS 2015 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013 Parameter Expanded Variational Bayesian Methods NeurIPS 2006