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2020 – today
- 2026
[j1]Wejdene Ben Nasr, Hélène Halconruy, Stéphane Jaffard:
Questioning normality: A study of wavelet leaders distribution. Stat. Comput. 36(1): 28 (2026)- 2025
- [c2]Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Pietro Novelli, Massimiliano Pontil:
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. ICML 2025 - [i5]Hamza Cherkaoui, Hélène Halconruy, Yohan Petetin:
Adaptive Sample Sharing for Linear Regression. CoRR abs/2510.16986 (2025) - [i4]Sebastian Reboul, Hélène Halconruy, Randal Douc:
Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach. CoRR abs/2510.19528 (2025) - 2024
- [c1]Vladimir Kostic, Hélène Halconruy, Timothée Devergne, Karim Lounici, Massimiliano Pontil:
Learning the Infinitesimal Generator of Stochastic Diffusion Processes. NeurIPS 2024 - [i3]Chiara Amorino, Arnaud Gloter, Hélène Halconruy:
Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP. CoRR abs/2401.17829 (2024) - [i2]Vladimir R. Kostic
, Karim Lounici, Hélène Halconruy, Timothee Devergne, Massimiliano Pontil:
Learning the Infinitesimal Generator of Stochastic Diffusion Processes. CoRR abs/2405.12940 (2024) - [i1]Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothee Devergne, Pietro Novelli, Massimiliano Pontil:
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. CoRR abs/2410.14477 (2024)
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