Brieuc Lehmann

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Continuous Data

Bayesian Nonparametric

Density Estimation

Top Venues

Nat. Mac. Intell.

Publications

Brieuc Lehmann, Simon White
A Bayesian multilevel model for populations of networks using exponential-family random graphs. Stat. Comput. 34 (4) (2024)
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris C. Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Rubén Sánchez-García, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Learning from data with structured missingness. CoRR (2023)
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates. UAI (2023)
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris C. Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Rubén J. Sánchez-García, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Learning from data with structured missingness. Nat. Mac. Intell. 5 (1) (2023)
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
Density Estimation with Autoregressive Bayesian Predictives. CoRR (2022)
Edwin Fong, Brieuc Lehmann
A Predictive Approach to Bayesian Nonparametric Survival Analysis. AISTATS (2022)
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes
Neural score matching for high-dimensional causal inference. AISTATS (2022)
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes
Neural Score Matching for High-Dimensional Causal Inference. CoRR (2022)