Articles with public access mandates - Alessandro BarpLearn more
Available somewhere: 12
Minimum stein discrepancy estimators
A Barp, FX Briol, A Duncan, M Girolami, L Mackey
Advances in Neural Information Processing Systems 32, 2019
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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
Mandates: US National Science Foundation, National Fund for Scientific Research …
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
Mandates: Australian Research Council, UK Engineering and Physical Sciences Research …
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
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research Council
Geometry and dynamics for Markov chain Monte Carlo
A Barp, FX Briol, AD Kennedy, M Girolami
Annual Review of Statistics and Its Application 5 (1), 451-471, 2018
Mandates: US National Science Foundation, US Department of Defense, UK Engineering and …
A Riemann–Stein kernel method
A Barp, CJ Oates, E Porcu, M Girolami
Bernoulli 28 (4), 2181-2208, 2022
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research …
A Riemannian-Stein kernel method
A Barp, C Oates, E Porcu, M Girolami
arXiv preprint arXiv:1810.04946 1 (5), 6-9, 2018
Mandates: UK Engineering and Physical Sciences Research Council
Targeted separation and convergence with kernel discrepancies
A Barp, CJ Simon-Gabriel, M Girolami, L Mackey
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research Council
Vector-valued control variates
Z Sun, A Barp, FX Briol
International Conference on Machine Learning, 32819-32846, 2023
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research Council
Irreversible Langevin MCMC on lie groups
A Arnaudon, A Barp, S Takao
Geometric Science of Information: 4th International Conference, GSI 2019 …, 2019
Mandates: UK Engineering and Physical Sciences Research Council
Hamiltonian Monte Carlo on Lie groups and constrained mechanics on homogeneous manifolds
A Barp
Geometric Science of Information: 4th International Conference, GSI 2019 …, 2019
Mandates: UK Engineering and Physical Sciences Research Council
Publication and funding information is determined automatically by a computer program