| 2025 | ICML | SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training. | Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds |
| 2024 | ICML | Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms. | Elvis Dohmatob, Meyer Scetbon |
| 2024 | ICML | A Fixed-Point Approach for Causal Generative Modeling. | Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma |
| 2023 | AISTATS | Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. | Meyer Scetbon, Elvis Dohmatob |
| 2022 | AISTATS | Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates. | Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zad Harchaoui |
| 2022 | ICML | An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings. | Meyer Scetbon, Laurent Meunier, Yaniv Romano |
| 2022 | ICML | Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. | Meyer Scetbon, Gabriel Peyr, Marco Cuturi |
| 2021 | AISTATS | A Spectral Analysis of Dot-product Kernels. | Meyer Scetbon, Zad Harchaoui |
| 2021 | AISTATS | Equitable and Optimal Transport with Multiple Agents. | Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi |
| 2021 | ICML | Mixed Nash Equilibria in the Adversarial Examples Game. | Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre |
| 2021 | ICML | Low-Rank Sinkhorn Factorization. | Meyer Scetbon, Marco Cuturi, Gabriel Peyr |
| 2020 | ICML | Harmonic Decompositions of Convolutional Networks. | Meyer Scetbon, Zad Harchaoui |