Kolyan Ray

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Variational Bayes

Top Venues

Publications

Richard Nickl, Grigorios A. Pavliotis, Kolyan Ray
Bayesian Nonparametric Inference in McKean-Vlasov models. CoRR (2024)
Ismaël Castillo, Alice L'Huillier, Kolyan Ray, Luke Travis
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression. CoRR (2024)
Luke Travis, Kolyan Ray
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior. NeurIPS (2023)
Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber
On the inability of Gaussian process regression to optimally learn compositional functions. CoRR (2022)
Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber
On the inability of Gaussian process regression to optimally learn compositional functions. NeurIPS (2022)
Michael Komodromos, Eric O. Aboagye, Marina Evangelou, Sarah Filippi, Kolyan Ray
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression. Bioinform. 38 (16) (2022)
Kolyan Ray, Botond Szabó, Gabriel Clara
Spike and slab variational Bayes for high dimensional logistic regression. NeurIPS (2020)
Matteo Giordano, Kolyan Ray
Nonparametric Bayesian inference for reversible multi-dimensional diffusions. CoRR (2020)
Kolyan Ray, Botond Szabó, Gabriel Clara
Spike and slab variational Bayes for high dimensional logistic regression. CoRR (2020)
Kolyan Ray, Botond Szabó
Debiased Bayesian inference for average treatment effects. NeurIPS (2019)
Kolyan Ray, Botond Szabó
Debiased Bayesian inference for average treatment effects. CoRR (2019)