Meyer Scetbon - RankMe

42 papers A* 12A 4Journal 26

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Amortized Inference of Causal Models via Conditional Fixed-Point Iterations. Trans. Mach. Learn. Res. Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon
2025	J	`jnl`	Gradient Multi-Normalization for Stateless and Scalable LLM Training. CoRR Meyer Scetbon, Chao Ma, Wenbo Gong, Edward Meeds
2025	A*	`conf`	SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training. ICML Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds
2025	J	`jnl`	Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension. CoRR Wenbo Gong, Meyer Scetbon, Chao Ma, Edward Meeds
2024	A*	`conf`	A Fixed-Point Approach for Causal Generative Modeling. ICML Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma
2024	J	`jnl`	Deep End-to-end Causal Inference. Trans. Mach. Learn. Res. Tomas Geffner, Javier Antorán, 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
2024	J	`jnl`	FiP: a Fixed-Point Approach for Causal Generative Modeling. CoRR Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma
2024	J	`jnl`	Low-Rank Correction for Quantized LLMs. CoRR Meyer Scetbon, James Hensman
2024	A*	`conf`	Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms. ICML Elvis Dohmatob, Meyer Scetbon
2024	J	`jnl`	SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training. CoRR Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds
2024	J	`jnl`	The Essential Role of Causality in Foundation World Models for Embodied AI. CoRR Tarun Gupta, Wenbo Gong, Chao Ma, Nick Pawlowski, Agrin Hilmkil, Meyer Scetbon, Ade Famoti, Ashley Juan Llorens, Jianfeng Gao, Stefan Bauer, Danica Kragic, Bernhard Schölkopf, Cheng Zhang
2024	J	`jnl`	Zero-Shot Learning of Causal Models. CoRR Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon
2023	J	`jnl`	Polynomial-Time Solvers for the Discrete ∞-Optimal Transport Problems. CoRR Meyer Scetbon
2023	A	`conf`	Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. AISTATS Meyer Scetbon, Elvis Dohmatob
2023	J	`jnl`	Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. CoRR Meyer Scetbon, Elvis Dohmatob
2023	J	`jnl`	Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms. CoRR Elvis Dohmatob, Meyer Scetbon
2023	A*	`conf`	Unbalanced Low-rank Optimal Transport Solvers. NeurIPS Meyer Scetbon, Michal Klein, Giovanni Palla, Marco Cuturi
2023	J	`jnl`	Unbalanced Low-rank Optimal Transport Solvers. CoRR Meyer Scetbon, Michal Klein, Giovanni Palla, Marco Cuturi
2022	A*	`conf`	An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings. ICML Meyer Scetbon, Laurent Meunier, Yaniv Romano
2022	A*	`conf`	Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. ICML Meyer Scetbon, Gabriel Peyré, Marco Cuturi
2022	A*	`conf`	Low-rank Optimal Transport: Approximation, Statistics and Debiasing. NeurIPS Meyer Scetbon, Marco Cuturi
2022	J	`jnl`	Low-rank Optimal Transport: Approximation, Statistics and Debiasing. CoRR Meyer Scetbon, Marco Cuturi
2022	A	`conf`	Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates. AISTATS Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaïd Harchaoui
2021	A	`conf`	A Spectral Analysis of Dot-product Kernels. AISTATS Meyer Scetbon, Zaïd Harchaoui
2021	J	`jnl`	An 𝓁 CoRR Meyer Scetbon, Laurent Meunier, Yaniv Romano
2021	J	`jnl`	Deep K-SVD Denoising. IEEE Trans. Image Process. Meyer Scetbon, Michael Elad, Peyman Milanfar
2021	A	`conf`	Equitable and Optimal Transport with Multiple Agents. AISTATS Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi
2021	J	`jnl`	Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. CoRR Meyer Scetbon, Gabriel Peyré, Marco Cuturi
2021	A*	`conf`	Low-Rank Sinkhorn Factorization. ICML Meyer Scetbon, Marco Cuturi, Gabriel Peyré
2021	J	`jnl`	Low-Rank Sinkhorn Factorization. CoRR Meyer Scetbon, Marco Cuturi, Gabriel Peyré
2021	A*	`conf`	Mixed Nash Equilibria in the Adversarial Examples Game. ICML Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre
2021	J	`jnl`	Mixed Nash Equilibria in the Adversarial Examples Game. CoRR Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre
2021	J	`jnl`	Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates. CoRR Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaïd Harchaoui
2020	J	`jnl`	Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation. CoRR Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi
2020	A*	`conf`	Harmonic Decompositions of Convolutional Networks. ICML Meyer Scetbon, Zaïd Harchaoui
2020	J	`jnl`	Harmonic Decompositions of Convolutional Networks. CoRR Meyer Scetbon, Zaïd Harchaoui
2020	A*	`conf`	Linear Time Sinkhorn Divergences using Positive Features. NeurIPS Meyer Scetbon, Marco Cuturi
2020	J	`jnl`	Linear Time Sinkhorn Divergences using Positive Features. CoRR Meyer Scetbon, Marco Cuturi
2020	J	`jnl`	Risk Bounds for Multi-layer Perceptrons through Spectra of Integral Operators. CoRR Meyer Scetbon, Zaïd Harchaoui
2019	A*	`conf`	Comparing distributions: 퓁 NeurIPS Meyer Scetbon, Gaël Varoquaux
2019	J	`jnl`	Comparing distributions: 𝓁 CoRR Meyer Scetbon, Gaël Varoquaux
2019	J	`jnl`	Deep K-SVD Denoising. CoRR Meyer Scetbon, Michael Elad, Peyman Milanfar