Summary
My research interests include Bayesian nonparametrics, variational inference, causal inference, inverse problems and asymptotic statistics.
For further details on my research, please see my website.
Publications
Journals
L'Huillier A, Travis L, Castillo I, et al., 2023, Semiparametric inference using fractional posteriors, Journal of Machine Learning Research, Vol:24, ISSN:1532-4435, Pages:18619-18679
Wang J, Ray K, Brito-Parada P, et al., 2022, A Bayesian approach for the modelling of material stocks and flows with incomplete data, Arxiv
Giordano M, Ray K, 2022, Nonparametric Bayesian inference for reversible multi-dimensional diffusions, Annals of Statistics, Vol:50, ISSN:0090-5364, Pages:2872-2898
Conference
Travis L, Ray K, Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), ISSN:1049-5258
Giordano M, Ray K, Schmidt-Hieber J, 2022, On the inability of Gaussian process regression to optimally learn compositional functions, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Pages:1-13, ISSN:1049-5258