Alessio Spantini

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 8

Top Topics

Density Function

Convex Optimization

Low Dimensional

Top Venues

SIAM J. Sci. Comput.

J. Mach. Learn. Res.

Publications

Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini
Computing f -divergences and distances of high-dimensional probability density functions. Numer. Linear Algebra Appl. 30 (3) (2023)
Olivier Zahm, Tiangang Cui, Kody J. H. Law, Alessio Spantini, Youssef M. Marzouk
Certified dimension reduction in nonlinear Bayesian inverse problems. Math. Comput. 91 (336) (2022)
Alexander Litvinenko, Youssef M. Marzouk, Hermann G. Matthies, Marco Scavino, Alessio Spantini
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions - Low-Rank Tensor Approximations. CoRR (2021)
Michael Brennan, Daniele Bigoni, Olivier Zahm, Alessio Spantini, Youssef M. Marzouk
Greedy inference with structure-exploiting lazy maps. NeurIPS (2020)
Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Alessio Spantini, Robert Scheichl
A Stein variational Newton method. NeurIPS (2018)
Alessio Spantini, Daniele Bigoni, Youssef M. Marzouk
Inference via Low-Dimensional Couplings. J. Mach. Learn. Res. 19 (2018)
Gianluca Detommaso, Tiangang Cui, Youssef M. Marzouk, Robert Scheichl, Alessio Spantini
A Stein variational Newton method. CoRR (2018)
Alessio Spantini, Tiangang Cui, Karen Willcox, Luis Tenorio, Youssef M. Marzouk
Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. 39 (5) (2017)
Alessio Spantini, Antti Solonen, Tiangang Cui, James Martin, Luis Tenorio, Youssef M. Marzouk
Optimal Low-rank Approximations of Bayesian Linear Inverse Problems. SIAM J. Sci. Comput. 37 (6) (2015)