Graduate School and Research Center in Digital Sciences

Contributed discussion on "A Bayesian conjugate gradient method"

Rossi, Simone; Rusu, Cristian; Rosasco, Lorenzo A.; Filippone, Maurizio

Bayesian Analysis, Vol.14, N°3, 2019

We would like to congratulate with the Authors for this interesting development of probabilistic numerical methods applied to the ubiquitous problem of solving linear systems. We structured this discussion around two main points, namely the use of Bayesian Conjugate Gradient (bcg) for Gaussian processes (gps), and the possibility to accelerate the solution of linear systems thanks to parallelization of bcg.

Document Doi Bibtex

Title:Contributed discussion on "A Bayesian conjugate gradient method"
Department:Data Science
Eurecom ref:6065
Copyright: ISBA
Bibtex: @article{EURECOM+6065, doi = {}, year = {2019}, month = {10}, title = {{C}ontributed discussion on "{A} {B}ayesian conjugate gradient method"}, author = {{R}ossi, {S}imone and {R}usu, {C}ristian and {R}osasco, {L}orenzo {A}. and {F}ilippone, {M}aurizio}, journal = {{B}ayesian {A}nalysis, {V}ol.14, {N}°3, 2019}, url = {} }
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