Papers
Latent Guided Sampling for Combinatorial Optimization
Surendran, S., Fermanian, A., & Corff, S. L. (2026) in Proceedings of the 43rd International Conference on Machine Learning
Robust Estimation for Linear State-Space Models with Stochastic Covariates
Mahoromeza, J. L., Fermanian, A., Wintenberger, O., & de Vilmarest, J. (2025). preprint
Wasserstein Convergence of Critically Damped Langevin Diffusions
Strasman, S., Surendran, S., Boyer, C., Le Corff, S., Lemaire, V., Ocello, A. (2025) in Thirty-ninth Conference on Advances in Neural Information Processing Systems
Theoretical Convergence Guarantees for Variational Autoencoders
Surendran, S., Godichon-Baggioni, A., & Corff, S. L. (2025) International Conference on Artificial Intelligence and Statistics
Online Policy Selection for Inventory Problems
Hihat, M., Fermanian, A. (2024) preprint
Dynamic Survival Analysis with Controlled Latent States
Bleistein, L., Nguyen, V.T., Fermanian, A., Guilloux, A. (2024) in Proceedings of the 41st International Conference on Machine Learning
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Surendran, S., Fermanian, A., Godichon-Baggioni, A., Le Corff, S. (2024) in Thirty-eighth Conference on Neural Information Processing Systems
An efficient joint model for high dimensional longitudinal and survival data via generic association features
Nguyen, V. T., Fermanian, A., Guilloux, A., Barbieri, A., Zohar, S., Jannot, A. S., Bussy, S. (2024). Biometrics 80(4), ujae149.
The insertion method to invert the signature of a path
Fermanian, A., Chang, J., Lyons, T., Biau, G. (2024). In: Barigozzi, M., Hörmann, S., Paindaveine, D. (eds) Recent Advances in Econometrics and Statistics. Springer, Cham.
Dynamics of Buyer Populations in Fresh Product Markets
Ellouze, A., Fernandez, B. (2024). Journal of Nonlinear Science, 34(5), 92.
Online Inventory Problems: Beyond the iid Setting with Online Convex Optimization
Hihat, M., Gaïffas, S., Garrigos, G., & Bussy, S. (2023) in Thirty-seventh Conference on Neural Information Processing Systems
Learning the Dynamics of Sparsely Observed Interacting Systems
Bleistein, L., Fermanian, A., Jannot, A.S., Guilloux, A. (2023) in Proceedings of the 40th International Conference on Machine Learning
Multivariate Online Linear Regression for Hierarchical Forecasting
Hihat, M., Garrigos, G., Fermanian, A., Bussy, S. (2023) preprint