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Meyer Scetbon
Meyer Scetbon
Quantitative Researcher, Citadel Securities
Bestätigte E-Mail-Adresse bei citadelsecurities.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep k-svd denoising
M Scetbon, M Elad, P Milanfar
IEEE Transactions on Image Processing 30, 5944-5955, 2021
1472021
Deep end-to-end causal inference
T Geffner, J Antoran, A Foster, W Gong, C Ma, E Kiciman, A Sharma, ...
arXiv preprint arXiv:2202.02195, 2022
892022
Linear-time gromov wasserstein distances using low rank couplings and costs
M Scetbon, G Peyré, M Cuturi
International Conference on Machine Learning, 19347-19365, 2022
732022
Low-rank sinkhorn factorization
M Scetbon, M Cuturi, G Peyré
International Conference on Machine Learning, 9344-9354, 2021
722021
Mixed nash equilibria in the adversarial examples game
L Meunier, M Scetbon, RB Pinot, J Atif, Y Chevaleyre
International Conference on Machine Learning, 7677-7687, 2021
352021
A spectral analysis of dot-product kernels
M Scetbon, Z Harchaoui
International conference on artificial intelligence and statistics, 3394-3402, 2021
342021
Linear time Sinkhorn divergences using positive features
M Scetbon, M Cuturi
Advances in neural information processing systems 33, 13468-13480, 2020
272020
Low-rank optimal transport: Approximation, statistics and debiasing
M Scetbon, M Cuturi
Advances in Neural Information Processing Systems 35, 6802-6814, 2022
242022
Triangular flows for generative modeling: Statistical consistency, smoothness classes, and fast rates
NJ Irons, M Scetbon, S Pal, Z Harchaoui
International Conference on Artificial Intelligence and Statistics, 10161-10195, 2022
172022
Comparing distributions: geometry improves kernel two-sample testing
M Scetbon, G Varoquaux
Advances in Neural Information Processing Systems 32, 2019
13*2019
Equitable and optimal transport with multiple agents
M Scetbon, L Meunier, J Atif, M Cuturi
International Conference on Artificial Intelligence and Statistics, 2035-2043, 2021
11*2021
The essential role of causality in foundation world models for embodied ai
T Gupta, W Gong, C Ma, N Pawlowski, A Hilmkil, M Scetbon, M Rigter, ...
arXiv preprint arXiv:2402.06665, 2024
102024
Harmonic decompositions of convolutional networks
M Scetbon, Z Harchaoui
International Conference on Machine Learning, 8522-8532, 2020
82020
An asymptotic test for conditional independence using analytic kernel embeddings
M Scetbon, L Meunier, Y Romano
International Conference on Machine Learning, 19328-19346, 2022
72022
Unbalanced low-rank optimal transport solvers
M Scetbon, M Klein, G Palla, M Cuturi
Advances in Neural Information Processing Systems 36, 52312-52325, 2023
42023
Robust linear regression: Gradient-descent, early-stopping, and beyond
M Scetbon, E Dohmatob
International Conference on Artificial Intelligence and Statistics, 11583-11607, 2023
32023
Precise Accuracy/Robustness Tradeoffs in Regression: Case of General Norms
E Dohmatob, M Scetbon
Forty-first International Conference on Machine Learning, 2024
2*2024
SWAN: Preprocessing SGD Enables Adam-Level Performance On LLM Training With Significant Memory Reduction
C Ma, W Gong, M Scetbon, E Meeds
arXiv preprint arXiv:2412.13148, 2024
12024
A Fixed-Point Approach for Causal Generative Modeling
M Scetbon, J Jennings, A Hilmkil, C Zhang, C Ma
Forty-first International Conference on Machine Learning, 2024
12024
Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension
W Gong, M Scetbon, C Ma, E Meeds
arXiv preprint arXiv:2502.07752, 2025
2025
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