Alessandro Barp

According to our database, Alessandro Barp authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Learning as Ricci Flow.

Anthony Baptista, Alessandro Barp, Tapabrata Chakraborti, Chris Harbron, Ben D. MacArthur, Christopher R. S. Banerji

CoRR, 2024

2023

Metrizing Weak Convergence with Maximum Mean Discrepancies.

Carl-Johann Simon-Gabriel, Alessandro Barp, Bernhard Schölkopf, Lester Mackey

J. Mach. Learn. Res., 2023

Improving embedding of graphs with missing data by soft manifolds.

Andrea Marinoni, Pietro Lio', Alessandro Barp, Christian Jutten, Mark Girolami

CoRR, 2023

Warped geometric information on the optimisation of Euclidean functions.

Marcelo Hartmann, Bernardo Williams, Hanlin Yu, Mark Girolami, Alessandro Barp, Arto Klami

CoRR, 2023

Vector-Valued Control Variates.

Zhuo Sun, Alessandro Barp, François-Xavier Briol

Proceedings of the International Conference on Machine Learning, 2023

2022

Targeted Separation and Convergence with Kernel Discrepancies.

Alessandro Barp, Carl-Johann Simon-Gabriel, Mark Girolami, Lester Mackey

CoRR, 2022

Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents.

Alessandro Barp, Lancelot Da Costa, Guilherme França, Karl J. Friston, Mark A. Girolami, Michael I. Jordan, Grigorios A. Pavliotis

CoRR, 2022

2020

Metrizing Weak Convergence with Maximum Mean Discrepancies.

Carl-Johann Simon-Gabriel, Alessandro Barp, Lester Mackey

CoRR, 2020

Geometric Integration of Measure-Preserving Flows for Sampling.

Alessandro Barp

Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

2019

Statistical Inference for Generative Models with Maximum Mean Discrepancy.

François-Xavier Briol, Alessandro Barp, Andrew B. Duncan, Mark A. Girolami

CoRR, 2019

Minimum Stein Discrepancy Estimators.

Alessandro Barp, François-Xavier Briol, Andrew B. Duncan, Mark A. Girolami, Lester W. Mackey

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stein Point Markov Chain Monte Carlo.

Wilson Ye Chen, Alessandro Barp, François-Xavier Briol, Jackson Gorham, Mark A. Girolami, Lester W. Mackey, Chris J. Oates

Proceedings of the 36th International Conference on Machine Learning, 2019

Hamiltonian Monte Carlo on Lie Groups and Constrained Mechanics on Homogeneous Manifolds.

Alessandro Barp

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Irreversible Langevin MCMC on Lie Groups.

Alexis Arnaudon, Alessandro Barp, So Takao

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2017

Geometry and Dynamics for Markov Chain Monte Carlo.

Alessandro Barp, François-Xavier Briol, Anthony D. Kennedy, Mark A. Girolami

CoRR, 2017