gaussian process classification

Logistic Variational Bayes Revisited ICML 2024 Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022 Efficient Active Learning for Gaussian Process Classification by Error Reduction NeurIPS 2021 Adversarial Robustness Guarantees for Classification with Gaussian Processes AISTATS 2020 Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation AAAI 2019 Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling JMLR 2019 Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation UAI 2019 pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015 Scalable Variational Gaussian Process Classification AISTATS 2015 Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014 Mind the Nuisance: Gaussian Process Classification using Privileged Noise NeurIPS 2014 Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013 Message passing with l1 penalized KL minimization ICML 2013 Approximate inference for the loss-calibrated Bayesian AISTATS 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005 PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification JMLR 2002