Neil K. Chada

3 papers · 2024–2025 · 2 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (2) 🐝 Cross-Pollinator (15)

Conferences

AISTATS (2) JMLR (1)

Top co-authors

Peter A. Whalley (1) Benedict J. Leimkuhler (1) Nong Minh Hieu (1) Quanjun Lang (1) Daniel Paulin (1) Xiong Wang (1) Jeremie Houssineau (1) Fei Lu (1) Emmanuel Delande (1)

Keywords

bayesian inference (1) kernel learning (1) reproducing kernel hilbert space (1) inverse problem (1) posterior mean (1) integral operator (1)

Papers

Decoupling epistemic and aleatoric uncertainties with possibility theory AISTATS 2025

Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics AISTATS 2025

A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024