OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
Gaspard Beugnot
Joined
May 2021
Names
Gaspard Beugnot
(Preferred)
,
Gaspad Beugnot
Emails
****@outlook.com
(Confirmed)
,
****@inria.fr
(Confirmed)
Personal Links
DBLP
LinkedIn
Career & Education History
PhD student
INRIA
(inria.fr)
2021
–
2024
MS student
Massachusetts Institute of Technology
(mit.edu)
2020
–
2020
Advisors, Relations & Conflicts
PhD Advisor
Julien Mairal
2020
–
2024
PhD Advisor
Alessandro Rudi
2020
–
2024
Expertise
Learning Theory
,
statistics
,
kernel learning
2020
–
2024
Optimal Transport
2020
–
2020
Publications
GloptiNets: Scalable Non-Convex Optimization with Certificates
Gaspard Beugnot
,
Julien Mairal
,
Alessandro Rudi
NeurIPS 2023 spotlight
Readers:
Everyone
On the Benefits of Large Learning Rates for Kernel Methods
Gaspard Beugnot
,
Julien Mairal
,
Alessandro Rudi
Published: 01 Jan 2022, Last Modified: 12 May 2023
COLT 2022
Readers:
Everyone
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Gaspard Beugnot
,
Julien Mairal
,
Alessandro Rudi
Published: 09 Nov 2021, Last Modified: 05 May 2023
NeurIPS 2021 Spotlight
Readers:
Everyone
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Gaspard Beugnot
,
Julien Mairal
,
Alessandro Rudi
Published: 09 Nov 2021, Last Modified: 05 May 2023
NeurIPS 2021 Spotlight
Readers:
Everyone
Improving approximate optimal transport distances using quantization
Gaspard Beugnot
,
Aude Genevay
,
Kristjan H. Greenewald
,
Justin Solomon
2021 (modified: 14 Apr 2023)
UAI 2021
Readers:
Everyone
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Gaspard Beugnot
,
Julien Mairal
,
Alessandro Rudi
Published: 01 Jan 2021, Last Modified: 12 May 2023
NeurIPS 2021
Readers:
Everyone
Co-Authors
Alessandro Rudi
Aude Genevay
Julien Mairal
Justin Solomon
Kristjan H. Greenewald