Alessandro Barp
Alessandro Barp
The Alan Turing Institute
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Cited by
Cited by
Minimum stein discrepancy estimators
A Barp, FX Briol, A Duncan, M Girolami, L Mackey
Advances in Neural Information Processing Systems 32, 2019
Stein point markov chain monte carlo
WY Chen, A Barp, FX Briol, J Gorham, M Girolami, L Mackey, C Oates
International Conference on Machine Learning, 1011-1021, 2019
Stein’s method meets computational statistics: A review of some recent developments
A Anastasiou, A Barp, FX Briol, B Ebner, RE Gaunt, F Ghaderinezhad, ...
Statistical Science 38 (1), 120-139, 2023
Statistical inference for generative models with maximum mean discrepancy
FX Briol, A Barp, AB Duncan, M Girolami
arXiv preprint arXiv:1906.05944, 2019
Metrizing weak convergence with maximum mean discrepancies
CJ Simon-Gabriel, A Barp, B Schölkopf, L Mackey
Journal of Machine Learning Research 24 (184), 1-20, 2023
Geometry and dynamics for Markov chain Monte Carlo
A Barp, FX Briol, AD Kennedy, M Girolami
Annual Review of Statistics and Its Application 5, 451-471, 2018
A Riemann–Stein kernel method
A Barp, CJ Oates, E Porcu, M Girolami
Bernoulli 28 (4), 2181-2208, 2022
Geometric methods for sampling, optimization, inference, and adaptive agents
A Barp, L Da Costa, G França, K Friston, M Girolami, MI Jordan, ...
Handbook of Statistics 46, 21-78, 2022
A Riemannian-Stein kernel method
A Barp, C Oates, E Porcu, M Girolami
arXiv preprint arXiv:1810.04946 1 (5), 6-9, 2018
Hamiltonian Monte Carlo on symmetric and homogeneous spaces via symplectic reduction
A Barp, A Kennedy, M Girolami
arXiv preprint arXiv:1903.02699, 2019
A unifying and canonical description of measure-preserving diffusions
A Barp, S Takao, M Betancourt, A Arnaudon, M Girolami
arXiv preprint arXiv:2105.02845, 2021
A numerical study of the 3D random interchange and random loop models
A Barp, EG Barp, FX Briol, D Ueltschi
Journal of Physics A: Mathematical and Theoretical 48 (34), 345002, 2015
Optimization on manifolds: A symplectic approach
G França, A Barp, M Girolami, MI Jordan
arXiv preprint arXiv:2107.11231, 2021
Vector-valued control variates
Z Sun, A Barp, FX Briol
International Conference on Machine Learning, 32819-32846, 2023
Targeted separation and convergence with kernel discrepancies
A Barp, CJ Simon-Gabriel, M Girolami, L Mackey
NeurIPS 2022 Workshop on Score-Based Methods, 2022
Irreversible Langevin MCMC on lie groups
A Arnaudon, A Barp, S Takao
Geometric Science of Information: 4th International Conference, GSI 2019 …, 2019
Hamiltonian Monte Carlo on Lie groups and constrained mechanics on homogeneous manifolds
A Barp
Geometric Science of Information: 4th International Conference, GSI 2019 …, 2019
The bracket geometry of statistics
AA Barp
Imperial College London, 2020
Controlling moments with kernel Stein discrepancies
H Kanagawa, A Barp, A Gretton, L Mackey
arXiv preprint arXiv:2211.05408, 2022
Posterior integration on a Riemannian manifold
C Oates, A Barp, M Girolami
arXiv preprint arXiv:1712.01793, 2017
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