Brieuc Lehmann

11 papers A 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Investigating fair data acquisition for risk prediction in resource-constrained settings.
EWAF
Ioanna Thoma, Elisabeth Abhayaratna, Matthew Sperrin, Karla Diaz-Ordaz, Ricardo Silva, Brieuc Lehmann
2025 J jnl
Personalized uncertainty quantification in artificial intelligence.
Nat. Mac. Intell.
Tapabrata Chakraborti, Christopher R. S. Banerji, Ariane Marandon, Vicky Hellon, Robin Mitra, Brieuc Lehmann, Leandra Bräuninger, Sarah F. McGough, Cagatay Turkay, Alejandro F. Frangi, Ginestra Bianconi, Weizi Li, Owen J. L. Rackham, Deepak Parashar, Chris Harbron, Ben D. MacArthur
2024 J jnl
A Bayesian multilevel model for populations of networks using exponential-family random graphs.
Stat. Comput.
Brieuc Lehmann, Simon R. White
2024 — conf
Fairness Considerations for Conformal Classification.
COPA
Arlan Abzhanov, Brieuc Lehmann
2023 J jnl
Learning from data with structured missingness.
CoRR
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 R. Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
2023 J jnl
Learning from data with structured missingness.
Nat. Mac. Intell.
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 R. Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
2023 A conf
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates.
UAI
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
2022 A conf
A Predictive Approach to Bayesian Nonparametric Survival Analysis.
AISTATS
Edwin Fong, Brieuc Lehmann
2022 J jnl
Density Estimation with Autoregressive Bayesian Predictives.
CoRR
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
2022 J jnl
Neural Score Matching for High-Dimensional Causal Inference.
CoRR
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes
2022 A conf
Neural score matching for high-dimensional causal inference.
AISTATS
Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes