My work spans statistical learning from dependent data, stochastic-system identification, optimal transport and stochastic control, generative diffusion models, and analytical and computational methods for partial differential equations.
2026
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Direct Estimation of Schrödinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees.Under review, 2026.
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Bridging Schrödinger and Bass: A Semimartingale Optimal Transport Problem with Diffusion Control.Under review, 2026.
arXiv
BibTeX
@misc{henrylabordere2026bridging, author = {Pierre Henry-Labordère and Grégoire Loeper and Othmane Mazhar and Huyên Pham and Nizar Touzi}, title = {{Bridging Schrödinger and Bass: A Semimartingale Optimal Transport Problem with Diffusion Control}}, year = {2026}, note = {Under review}, eprint = {2603.27712}, archivePrefix = {arXiv} } -
SBBTS: A Unified Schrödinger–Bass Framework for Synthetic Financial Time Series.Under review, 2026.
arXiv
code
BibTeX
@misc{alouadi2026sbbts, author = {Alexandre Alouadi and Grégoire Loeper and Célian Marsala and Othmane Mazhar and Huyên Pham}, title = {{SBBTS: A Unified Schrödinger–Bass Framework for Synthetic Financial Time Series}}, year = {2026}, note = {Under review}, eprint = {2604.07159}, archivePrefix = {arXiv} } -
LightSBB-M: Bridging Schrödinger and Bass for Generative Diffusion Modeling.Under review, 2026.
arXiv
code
BibTeX
@misc{alouadi2026lightsbbm, author = {Alexandre Alouadi and Pierre Henry-Labordère and Grégoire Loeper and Othmane Mazhar and Huyên Pham and Nizar Touzi}, title = {{LightSBB-M: Bridging Schrödinger and Bass for Generative Diffusion Modeling}}, year = {2026}, note = {Under review}, eprint = {2601.19312}, archivePrefix = {arXiv} } -
A PDE Derivation of the Schrödinger–Bass Bridge.Under review, 2026.
arXiv
BibTeX
@misc{alouadi2026pde, author = {Alexandre Alouadi and Pierre Henry-Labordère and Grégoire Loeper and Othmane Mazhar and Huyên Pham and Nizar Touzi}, title = {{A PDE Derivation of the Schrödinger–Bass Bridge}}, year = {2026}, note = {Under review}, eprint = {2601.17863}, archivePrefix = {arXiv} }
2025
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Empirical Validation of Novel Non-Asymptotic Bounds on the Least Squares Estimator for LTI Systems with Applications in Economics.Asian Journal of Economics and Banking 9(3), 491–509, 2025.
DOI
BibTeX
@article{choutri2025empirical, author = {Salah Eddine Choutri and Boualem Djehiche and Othmane Mazhar}, title = {{Empirical validation of novel non-asymptotic bounds on the least squares estimator for LTI systems with applications in economics}}, journal = {Asian Journal of Economics and Banking}, year = {2025} } -
Monte Carlo-Type Neural Operator for Differential Equations.International Conference on Machine Learning and Applications (ICMLA), 2025.
arXiv
BibTeX
@inproceedings{choutri2025montecarlo, author = {Salah Eddine Choutri and Prajwal Chauhan and Othmane Mazhar and Saif Eddin Jabar}, title = {{Monte Carlo-Type Neural Operator for Differential Equations}}, booktitle = {International Conference on Machine Learning and Applications}, year = {2025}, eprint = {2510.05620}, archivePrefix = {arXiv} } -
An Optimal Non-Asymptotic Journey Through System Identification with Least Squares.Studies in Systems, Decision and Control. Springer, 2025.
BibTeX
@incollection{djehiche2025journey, author = {Boualem Djehiche and Othmane Mazhar}, title = {{An optimal non-asymptotic journey through system identification with least squares}}, booktitle = {Studies in Systems, Decision and Control}, publisher = {Springer}, year = {2025} } -
Minimax Lower Bounds and Adaptivity for LTI State-Space Models with van Trees.Under review, 2025.
BibTeX
@misc{djehiche2025minimax, author = {Boualem Djehiche and Othmane Mazhar}, title = {{Minimax Lower Bounds and Adaptivity for LTI State-Space Models with van Trees}}, year = {2025}, note = {Under review} }
2024
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Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration.European Control Conference (ECC), 1795–1801, 2024.
arXiv
IEEE
BibTeX
@inproceedings{athrey2024regret, author = {Archith Athrey and Othmane Mazhar and Meichen Guo and Bart De Schutter and Shengling Shi}, title = {{Regret analysis of learning-based linear quadratic Gaussian control with additive exploration}}, booktitle = {European Control Conference}, pages = {1795--1801}, year = {2024} }
2023
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Finite-Sample Analysis of Identification of Switched Linear Systems with Arbitrary or Restricted Switching.IEEE Control Systems Letters 7, 121–126, 2023.
arXiv
BibTeX
@article{shi2023finite, author = {Shengling Shi and Othmane Mazhar and Bart De Schutter}, title = {{Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching}}, journal = {IEEE Control Systems Letters}, volume = {7}, pages = {121--126}, year = {2023} }
2022
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Efficient Learning of Hidden-State LTI State-Space Models of Unknown Order.Under review, 2025. arXiv:2202.01625.
arXiv
BibTeX
@misc{djehiche2025efficient, author = {Boualem Djehiche and Othmane Mazhar}, title = {{Efficient Learning of Hidden-State LTI State-Space Models of Unknown Order}}, year = {2025}, note = {Under review}, eprint = {2202.01625}, archivePrefix = {arXiv} } -
Data-Driven Modeling in the Presence of Time Series Structure: Improved Bounds and Effective Algorithms.PhD thesis, KTH Royal Institute of Technology, TRITA-SCI-FOU 2022:12, 2022.
KTH record
BibTeX
@phdthesis{mazhar2022datadriven, author = {Othmane Mazhar}, title = {{Data-Driven Modeling in the Presence of Time Series Structure: Improved Bounds and Effective Algorithms}}, school = {KTH Royal Institute of Technology}, year = {2022} }
2021
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Finite Impulse Response Models: A Non-Asymptotic Analysis of the Least Squares Estimator.Bernoulli 27(2), 976–1000, 2021.
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Non-Asymptotic Estimation Lower Bounds for LTI State-Space Models with Cramér–Rao and van Trees.Earlier preprint; material extended in subsequent submitted manuscripts.
arXiv
BibTeX
@misc{djehiche2021lower, author = {Boualem Djehiche and Othmane Mazhar}, title = {{Non-asymptotic estimation lower bounds for LTI state-space models with Cramér--Rao and van Trees}}, year = {2021}, note = {Earlier preprint; material extended in subsequent submitted manuscripts}, eprint = {2109.08582}, archivePrefix = {arXiv} }
2018
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Bayesian Model Selection for Change Point Detection and Clustering.Proceedings of the 35th International Conference on Machine Learning, PMLR 80, 3433–3442, 2018.
PMLR
PDF
BibTeX
@inproceedings{mazhar2018bayesian, author = {Othmane Mazhar and Cristian R. Rojas and Carlo Fischione and Mohammad Reza Hesamzadeh}, title = {{Bayesian Model Selection for Change Point Detection and Clustering}}, booktitle = {Proceedings of the 35th International Conference on Machine Learning}, series = {Proceedings of Machine Learning Research}, volume = {80}, pages = {3433--3442}, year = {2018} }
2016
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Optimal Consensus and Opinion Dynamics.Master’s thesis, KTH Royal Institute of Technology, TRITA-MAT-E 2016:17, 2016.
KTH record
BibTeX
@mastersthesis{mazhar2016optimal, author = {Othmane Mazhar}, title = {{Optimal Consensus and Opinion Dynamics}}, school = {KTH Royal Institute of Technology}, year = {2016} }