Fix cabannes24a

_posts/2024-04-18-a-cabannnes24a.md → _posts/2024-04-18-cabannes24a.md

@@ -1,30 +1,30 @@
 ---
-title: " The Galerkin method beats Graph-Based Approaches for Spectral Algorithms "
-software: " https://github.com/VivienCabannes/laplacian "
-abstract: " Historically, the machine learning community has derived spectral decompositions
+title: "The Galerkin method beats Graph-Based Approaches for Spectral Algorithms"
+software: https://github.com/VivienCabannes/laplacian
+abstract: Historically, the machine learning community has derived spectral decompositions
   from graph-based approaches. We break with this approach and prove the statistical
   and computational superiority of the Galerkin method, which consists in restricting
   the study to a small set of test functions. In particular, we introduce implementation
   tricks to deal with differential operators in large dimensions with structured kernels.
   Finally, we extend on the core principles beyond our approach to apply them to non-linear
   spaces of functions, such as the ones parameterized by deep neural networks, through
-  loss-based optimization procedures. "
+  loss-based optimization procedures."
 layout: inproceedings
 series: Proceedings of Machine Learning Research
 publisher: PMLR
 issn: 2640-3498
-id: a-cabannnes24a
+id: cabannnes24a
 month: 0
-tex_title: " The {G}alerkin method beats Graph-Based Approaches for Spectral Algorithms "
+tex_title: "The {G}alerkin method beats Graph-Based Approaches for Spectral Algorithms"
 firstpage: 451
 lastpage: 459
 page: 451-459
 order: 451
 cycles: false
 bibtex_author: A Cabannnes, Vivien and Bach, Francis
 author:
-- given: Vivien
-  family: A Cabannnes
+- given: Vivien A.
+  family: Cabannnes
 - given: Francis
   family: Bach
 date: 2024-04-18
@@ -38,7 +38,7 @@ issued:
   - 2024
   - 4
   - 18
-pdf: https://proceedings.mlr.press/v238/a-cabannnes24a/a-cabannnes24a.pdf
+pdf: https://proceedings.mlr.press/v238/cabannnes24a/cabannnes24a.pdf
 extras: []
 # Format based on Martin Fenner's citeproc: https://blog.front-matter.io/posts/citeproc-yaml-for-bibliographies/
 ---