Nadjahi, Kimia

15 publications

ICML 2025 Optimal Transport-Based Conformal Prediction Gauthier Thurin, Kimia Nadjahi, Claire Boyer

TMLR 2025 Slicing Unbalanced Optimal Transport Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian Fatras, Nicolas Courty

NeurIPS 2025 Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization Milad Sefidgaran, Kimia Nadjahi, Abdellatif Zaidi

ICML 2024 Asymmetry in Low-Rank Adapters of Foundation Models Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez De Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon

ICLRW 2024 Asymmetry in Low-Rank Adapters of Foundation Models Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon

ICLR 2024 Federated Wasserstein Distance Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola

ICML 2024 Slicing Mutual Information Generalization Bounds for Neural Networks Kimia Nadjahi, Kristjan Greenewald, Rickard Brüel Gabrielsson, Justin Solomon

ICML 2023 Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola

ICMLW 2023 Slicing Mutual Information Generalization Bounds for Neural Networks Kimia Nadjahi, Kristjan Greenewald, Rickard Brüel Gabrielsson, Justin Solomon

ICMLW 2023 Unbalanced Optimal Transport Meets Sliced-Wasserstein Thibault Sejourne, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty

NeurIPS 2021 Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections Kimia Nadjahi, Alain Durmus, Pierre E Jacob, Roland Badeau, Umut Simsekli

NeurIPS 2020 Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli

NeurIPS 2019 Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance Kimia Nadjahi, Alain Durmus, Umut Simsekli, Roland Badeau

NeurIPS 2019 Generalized Sliced Wasserstein Distances Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo Rohde

ECML-PKDD 2019 Safe Policy Improvement with Soft Baseline Bootstrapping Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes