Adam, Vincent

7 publications

ICLR 2026 Reward Models Inherit Value Biases from Pretraining Brian Christian, Jessica A F Thompson, Elle, Vincent Adam, Hannah Rose Kirk, Christopher Summerfield, Tsvetomira Dumbalska

AISTATS 2024 Variational Gaussian Process Diffusion Processes Prakhar Verma, Vincent Adam, Arno Solin

AISTATS 2021 Sparse Algorithms for Markovian Gaussian Processes William Wilkinson, Arno Solin, Vincent Adam

NeurIPS 2021 Dual Parameterization of Sparse Variational Gaussian Processes Vincent Adam, Paul Chang, Mohammad Emtiyaz Khan, Arno Solin

NeurIPSW 2021 Sparse Gaussian Processes for Stochastic Differential Equations Prakhar Verma, Vincent Adam, Arno Solin

AISTATS 2020 Doubly Sparse Variational Gaussian Processes Vincent Adam, Stefanos Eleftheriadis, Artem Artemev, Nicolas Durrande, James Hensman

AISTATS 2019 Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman