Kolyan Ray

According to our database, Kolyan Ray authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression.

Ismaël Castillo, Alice L'Huillier, Kolyan Ray, Luke Travis

CoRR, 2024

Bayesian Nonparametric Inference in McKean-Vlasov models.

Richard Nickl, Grigorios A. Pavliotis, Kolyan Ray

CoRR, 2024

2023

Semiparametric Inference Using Fractional Posteriors.

Alice L'Huillier, Luke Travis, Ismaël Castillo, Kolyan Ray

J. Mach. Learn. Res., 2023

Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior.

Luke Travis, Kolyan Ray

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Variational Bayes for high-dimensional proportional hazards models with applications within gene expression.

Michael Komodromos, Eric O. Aboagye, Marina Evangelou, Sarah Filippi, Kolyan Ray

Bioinform., 2022

On the inability of Gaussian process regression to optimally learn compositional functions.

Matteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Nonparametric Bayesian inference for reversible multi-dimensional diffusions.

Matteo Giordano, Kolyan Ray

CoRR, 2020

Spike and slab variational Bayes for high dimensional logistic regression.

Kolyan Ray, Botond Szabó, Gabriel Clara

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Debiased Bayesian inference for average treatment effects.

Kolyan Ray, Botond Szabó

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019