Ulysse Marteau-Ferey

According to our database1, Ulysse Marteau-Ferey authored at least 8 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Article 
PhD thesis 
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Links

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Bibliography

2024
Second Order Conditions to Decompose Smooth Functions as Sums of Squares.
SIAM J. Optim., March, 2024

2023
SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Modelling functions with kernels: from logistic regression to global optimisation. (De la régression logistique à l'optimisation globale, modéliser des fonctions avec des noyaux).
PhD thesis, 2022

Sampling from Arbitrary Functions via PSD Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020
Finding Global Minima via Kernel Approximations.
CoRR, 2020

Non-parametric Models for Non-negative Functions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance.
Proceedings of the Conference on Learning Theory, 2019


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