Ray, Kolyan

5 publications

NeurIPS 2023 Pointwise Uncertainty Quantification for Sparse Variational Gaussian Process Regression with a Brownian Motion Prior Luke Travis, Kolyan Ray

JMLR 2023 Semiparametric Inference Using Fractional Posteriors Alice L'Huillier, Luke Travis, Ismaël Castillo, Kolyan Ray

NeurIPS 2022 On the Inability of Gaussian Process Regression to Optimally Learn Compositional Functions Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber

NeurIPS 2020 Spike and Slab Variational Bayes for High Dimensional Logistic Regression Kolyan Ray, Botond Szabo, Gabriel Clara

NeurIPS 2019 Debiased Bayesian Inference for Average Treatment Effects Kolyan Ray, Botond Szabo