• 
  Hamza Ennaji, Jalal M. Fadili, Hedy Attouch. Stochastic monotone inclusion with closed loop distributions. 2024. ⟨hal-04652333v2⟩
• 
  Nathaël da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said. Geometric Learning with Positively Decomposable Kernels. 2024. ⟨hal-04270518v2⟩
• 
  Nathaël da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said. Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach. 2024. ⟨hal-04270515v2⟩
• 
  Cyrus Mostajeran, Salem Said. Invariant kernels on the space of complex covariance matrices. 2024. ⟨hal-04525081v2⟩
• 
  Evgeniya Vorontsova, Roland Hildebrand, Alexander Gasnikov, Fedor Stonyakin. Выпуклая оптимизация. MIPT, 2021, 978-5-7417-0776-0. ⟨10.48550/arXiv.2106.01946⟩. ⟨hal-03376610⟩
• 
  Sergei Grudinin. New Challenges in Structural Bioinformatics: When Physics Meets Big Data. Bioinformatics [q-bio.QM]. Université Grenoble Alpes, 2024. ⟨tel-04632105⟩
• 
  Dmitrii Zhemchuzhnikov, Sergei Grudinin. On the Fourier analysis in the SO(3) space : EquiLoPO Network. 2024. ⟨hal-04632092⟩
• 
  Dmitrii Zhemchuzhnikov, Sergei Grudinin. ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. ⟨hal-04632077⟩
• 
  Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos. What is the long-run distribution of stochastic gradient descent? A large deviations analysis. ICML 2024 - 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria. pp.1-70. ⟨hal-04629305⟩
• 
  Tam Le, Jérôme Malick. Universal generalization guarantees for Wasserstein distributionally robust models. 2024. ⟨hal-04460543v2⟩
• 
  Kévin Polisano, Basile Dubois-Bonnaire, Sylvain Meignen. Gridless 2D Recovery of Lines using the Sliding Frank-Wolfe Algorithm. EUSIPCO 2024 - 32th European Signal Processing Conference, Aug 2024, Lyon, France. ⟨hal-04505428v2⟩
• 
  Augustin Alonso, Gerard Robert, Gildas Besançon, Roland Hildebrand. Hydropower Plants Modelling for Monitoring Purposes. IFAC WC 2023 - 22nd IFAC World Congress, Jul 2023, Yokohama, Japan. ⟨hal-04584668⟩
• 
  Yu-Guan Hsieh. Decision-Making in multi-agent systems : delays, adaptivity, and learning in games. Multiagent Systems [cs.MA]. Université Grenoble Alpes [2020-..], 2023. English. ⟨NNT : 2023GRALM064⟩. ⟨tel-04574569⟩
• 
  Jérôme Bolte, Tam Le, Éric Moulines, Edouard Pauwels. Inexact subgradient methods for semialgebraic functions. 2024. ⟨hal-04562371⟩
• 
  Sélim Chraibi, Franck Iutzeler, Jérôme Malick, Alexander Rogozin. Delay-tolerant distributed Bregman proximal algorithms. Optimization Methods and Software, 2024, pp.1-17. ⟨10.1080/10556788.2023.2278089⟩. ⟨hal-04515223⟩
• 
  Tom Picard. Filtering and stastistical learning for financial risk management. Computational Engineering, Finance, and Science [cs.CE]. Université Grenoble Alpes [2020-..], 2023. English. ⟨NNT : 2023GRALM058⟩. ⟨tel-04548987⟩
• 
  Alexandre Delcourt. Amélioration des détecteurs CdZnTe pour l'imagerie gamma par apprentissage. Physique mathématique [math-ph]. Université Grenoble Alpes [2020-..], 2023. Français. ⟨NNT : 2023GRALM056⟩. ⟨tel-04523963⟩
• 
  Victor Mercklé, Franck Iutzeler, Ievgen Redko. The Hidden Convex Optimization Landscape of Two-Layer ReLU Networks. 2024. ⟨hal-04521343⟩
• 
  Waïss Azizian, Guillaume Baudart, Marc Lelarge. Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation. SPIGM@ICML 2023 - Structured Probabilistic Inference and Generative Modeling Workshop, Jul 2023, Honolulu, United States. ⟨hal-04488225⟩
• 
  Valentin Lombard, Sergei Grudinin, Elodie Laine. Explaining Conformational Diversity in Protein Families through Molecular Motions. 2024. ⟨hal-04442287⟩

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