Vollmer, Sebastian

6 publications

NeurIPS 2023 Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder, Zijing Ou, Jen Lim, Yingzhen Li, Sebastian Vollmer, Andrew Duncan

AISTATS 2023 Energy-Based Models for Functional Data Using Path Measure Tilting Jen Ning Lim, Sebastian Vollmer, Lorenz Wolf, Andrew Duncan

UAI 2022 Mitigating Statistical Bias Within Differentially Private Synthetic Data Sahra Ghalebikesabi, Harry Wilde, Jack Jewson, Arnaud Doucet, Sebastian Vollmer, Chris Holmes

AISTATS 2021 Foundations of Bayesian Learning from Synthetic Data Harrison Wilde, Jack Jewson, Sebastian Vollmer, Chris Holmes

AISTATS 2021 Model Updating After Interventions Paradoxically Introduces Bias James Liley, Samuel Emerson, Bilal Mateen, Catalina Vallejos, Louis Aslett, Sebastian Vollmer

JMLR 2017 Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server Leonard Hasenclever, Stefan Webb, Thibaut Lienart, Sebastian Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh