bayesian logistic regression

Traces of Social Competence in Large Language Models CoNLL 2026 Underdamped Langevin MCMC with third order convergence JMLR 2026 Feedback Coding for Active Learning AISTATS 2021 AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020 Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020 Auxiliary Variational MCMC ICLR 2019 Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019 Online sampling from log-concave distributions NeurIPS 2019 Unbiased Implicit Variational Inference AISTATS 2019 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NeurIPS 2018 Coresets for Scalable Bayesian Logistic Regression NeurIPS 2016 Fast Second Order Stochastic Backpropagation for Variational Inference NeurIPS 2015 Distributed Bayesian Posterior Sampling via Moment Sharing NeurIPS 2014 Bayesian Canonical Correlation Analysis JMLR 2013