Courtney Paquette
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
3
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Implicit Diffusion: Efficient optimization through stochastic sampling. | Pierre Marion, Anna Korba, Peter L. Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-Lpez, Courtney Paquette, Quentin Berthet |
| 2024 | COLT | Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract. | Toms Gonzlez, Cristbal Guzmn, Courtney Paquette |
| 2022 | ICML | Only tails matter: Average-Case Universality and Robustness in the Convex Regime. | Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette |
| 2021 | COLT | SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality. | Courtney Paquette, Kiwon Lee, Fabian Pedregosa, Elliot Paquette |
| 2018 | AISTATS | Catalyst for Gradient-based Nonconvex Optimization. | Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy, Julien Mairal, Zad Harchaoui |