Scetbon, Meyer

20 publications

TMLR 2025 Amortized Inference of Causal Models via Conditional Fixed-Point Iterations Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon

NeurIPS 2025 Gradient Multi-Normalization for Efficient LLM Training Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds

ICML 2025 SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds

ICML 2024 A Fixed-Point Approach for Causal Generative Modeling Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma

TMLR 2024 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang

ICML 2024 Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms Elvis Dohmatob, Meyer Scetbon

NeurIPSW 2024 Zero-Shot Learning of Causal Models Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon

AISTATS 2023 Robust Linear Regression: Gradient-Descent, Early-Stopping, and Beyond Meyer Scetbon, Elvis Dohmatob

NeurIPS 2023 Unbalanced Low-Rank Optimal Transport Solvers Meyer Scetbon, Michal Klein, Giovanni Palla, Marco Cuturi

AISTATS 2022 Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaid Harchaoui

ICML 2022 An Asymptotic Test for Conditional Independence Using Analytic Kernel Embeddings Meyer Scetbon, Laurent Meunier, Yaniv Romano

ICML 2022 Linear-Time Gromov Wasserstein Distances Using Low Rank Couplings and Costs Meyer Scetbon, Gabriel Peyré, Marco Cuturi

NeurIPS 2022 Low-Rank Optimal Transport: Approximation, Statistics and Debiasing Meyer Scetbon, Marco Cuturi

AISTATS 2021 A Spectral Analysis of Dot-Product Kernels Meyer Scetbon, Zaid Harchaoui

AISTATS 2021 Equitable and Optimal Transport with Multiple Agents Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi

ICML 2021 Low-Rank Sinkhorn Factorization Meyer Scetbon, Marco Cuturi, Gabriel Peyré

ICML 2021 Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier, Meyer Scetbon, Rafael B Pinot, Jamal Atif, Yann Chevaleyre

ICML 2020 Harmonic Decompositions of Convolutional Networks Meyer Scetbon, Zaid Harchaoui

NeurIPS 2020 Linear Time Sinkhorn Divergences Using Positive Features Meyer Scetbon, Marco Cuturi

NeurIPS 2019 Comparing Distributions: $\ell_1$ Geometry Improves Kernel Two-Sample Testing Meyer Scetbon, Gael Varoquaux