Kolyan Ray

12 papers A* 4Journal 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression.
CoRR
Ismaël Castillo, Alice L'Huillier, Kolyan Ray, Luke Travis
2024 J jnl
Bayesian Nonparametric Inference in McKean-Vlasov models.
CoRR
Richard Nickl, Grigorios A. Pavliotis, Kolyan Ray
2023 A* conf
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior.
NeurIPS
Luke Travis, Kolyan Ray
2023 J jnl
Semiparametric Inference Using Fractional Posteriors.
J. Mach. Learn. Res.
Alice L'Huillier, Luke Travis, Ismaël Castillo, Kolyan Ray
2022 A* conf
On the inability of Gaussian process regression to optimally learn compositional functions.
NeurIPS
Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber
2022 J jnl
On the inability of Gaussian process regression to optimally learn compositional functions.
CoRR
Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber
2022 J jnl
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression.
Bioinform.
Michael Komodromos, Eric O. Aboagye, Marina Evangelou, Sarah Filippi, Kolyan Ray
2020 J jnl
Nonparametric Bayesian inference for reversible multi-dimensional diffusions.
CoRR
Matteo Giordano, Kolyan Ray
2020 A* conf
Spike and slab variational Bayes for high dimensional logistic regression.
NeurIPS
Kolyan Ray, Botond Szabó, Gabriel Clara
2020 J jnl
Spike and slab variational Bayes for high dimensional logistic regression.
CoRR
Kolyan Ray, Botond Szabó, Gabriel Clara
2019 A* conf
Debiased Bayesian inference for average treatment effects.
NeurIPS
Kolyan Ray, Botond Szabó
2019 J jnl
Debiased Bayesian inference for average treatment effects.
CoRR
Kolyan Ray, Botond Szabó