no code implementations • 4 Apr 2023 • Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Ruben Sanchez-Garcia, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Missing data are an unavoidable complication in many machine learning tasks.
no code implementations • 13 Jun 2022 • Sahra Ghalebikesabi, Chris Holmes, Edwin Fong, Brieuc Lehmann
In the context of density estimation, the standard nonparametric Bayesian approach is to target the posterior predictive of the Dirichlet process mixture model.
1 code implementation • 1 Mar 2022 • Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris Holmes
We leverage these balancing scores to perform matching for high-dimensional causal inference and call this procedure neural score matching.