Alessandro Barp

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Geometric Information

Statistical Inference

Top Venues

J. Mach. Learn. Res.

Publications

Anthony Baptista, Alessandro Barp, Tapabrata Chakraborti, Chris Harbron, Ben D. MacArthur, Christopher R. S. Banerji
Deep Learning as Ricci Flow. CoRR (2024)
Marcelo Hartmann, Bernardo Williams, Hanlin Yu, Mark Girolami, Alessandro Barp, Arto Klami
Warped geometric information on the optimisation of Euclidean functions. CoRR (2023)
Carl-Johann Simon-Gabriel, Alessandro Barp, Bernhard Schölkopf, Lester Mackey
Metrizing Weak Convergence with Maximum Mean Discrepancies. J. Mach. Learn. Res. 24 (2023)
Andrea Marinoni, Pietro Lio', Alessandro Barp, Christian Jutten, Mark Girolami
Improving embedding of graphs with missing data by soft manifolds. CoRR (2023)
Zhuo Sun, Alessandro Barp, François-Xavier Briol
Vector-Valued Control Variates. ICML (2023)
Alessandro Barp, Lancelot Da Costa, Guilherme França, Karl J. Friston, Mark A. Girolami, Michael I. Jordan, Grigorios A. Pavliotis
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents. CoRR (2022)
Alessandro Barp, Carl-Johann Simon-Gabriel, Mark Girolami, Lester Mackey
Targeted Separation and Convergence with Kernel Discrepancies. CoRR (2022)
Alessandro Barp
Geometric Integration of Measure-Preserving Flows for Sampling. SPIGL (2020)
Carl-Johann Simon-Gabriel, Alessandro Barp, Lester Mackey
Metrizing Weak Convergence with Maximum Mean Discrepancies. CoRR (2020)
Wilson Ye Chen, Alessandro Barp, François-Xavier Briol, Jackson Gorham, Mark A. Girolami, Lester W. Mackey, Chris J. Oates
Stein Point Markov Chain Monte Carlo. ICML (2019)
Alessandro Barp, François-Xavier Briol, Andrew B. Duncan, Mark A. Girolami, Lester W. Mackey
Minimum Stein Discrepancy Estimators. CoRR (2019)
Alessandro Barp
Hamiltonian Monte Carlo on Lie Groups and Constrained Mechanics on Homogeneous Manifolds. GSI (2019)
Alexis Arnaudon, Alessandro Barp, So Takao
Irreversible Langevin MCMC on Lie Groups. GSI (2019)
Alessandro Barp, François-Xavier Briol, Andrew B. Duncan, Mark A. Girolami, Lester W. Mackey
Minimum Stein Discrepancy Estimators. NeurIPS (2019)
François-Xavier Briol, Alessandro Barp, Andrew B. Duncan, Mark A. Girolami
Statistical Inference for Generative Models with Maximum Mean Discrepancy. CoRR (2019)
Alessandro Barp, François-Xavier Briol, Anthony D. Kennedy, Mark A. Girolami
Geometry and Dynamics for Markov Chain Monte Carlo. CoRR (2017)