Chada, Neil K.

3 publications

AISTATS 2025 Decoupling Epistemic and Aleatoric Uncertainties with Possibility Theory Nong Minh Hieu, Jeremie Houssineau, Neil K. Chada, Emmanuel Delande

AISTATS 2025 Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics Daniel Paulin, Peter A. Whalley, Neil K. Chada, Benedict J. Leimkuhler

JMLR 2024 A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang