Kimia Nadjahi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Topological Properties

Kullback Leibler

Top Venues

Publications

Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
Asymmetry in Low-Rank Adapters of Foundation Models. CoRR (2024)
Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon
Slicing Mutual Information Generalization Bounds for Neural Networks. CoRR (2024)
Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola
Federated Wasserstein Distance. ICLR (2024)
Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola
Federated Wasserstein Distance. CoRR (2023)
Thibault Séjourné, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty
Unbalanced Optimal Transport meets Sliced-Wasserstein. CoRR (2023)
Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. ICML (2023)
Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. CoRR (2022)
Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli
Generalized Sliced Probability Metrics. ICASSP (2022)
Kimia Nadjahi, Alain Durmus, Pierre E. Jacob, Roland Badeau, Umut Simsekli
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections. NeurIPS (2021)
Kimia Nadjahi, Alain Durmus, Pierre E. Jacob, Roland Badeau, Umut Simsekli
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections. CoRR (2021)
Kimia Nadjahi, Valentin De Bortoli, Alain Durmus, Roland Badeau, Umut Simsekli
Approximate Bayesian Computation with the Sliced-Wasserstein Distance. ICASSP (2020)
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
Statistical and Topological Properties of Sliced Probability Divergences. NeurIPS (2020)
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour
Generalized Sliced Distances for Probability Distributions. CoRR (2020)
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli
Statistical and Topological Properties of Sliced Probability Divergences. CoRR (2020)
Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes
Safe Policy Improvement with Soft Baseline Bootstrapping. CoRR (2019)
Kimia Nadjahi, Alain Durmus, Umut Simsekli, Roland Badeau
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance. CoRR (2019)
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde
Generalized Sliced Wasserstein Distances. NeurIPS (2019)
Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes
Safe Policy Improvement with Soft Baseline Bootstrapping. ECML/PKDD (3) (2019)
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde
Generalized Sliced Wasserstein Distances. CoRR (2019)
Kimia Nadjahi, Alain Durmus, Umut Simsekli, Roland Badeau
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance. NeurIPS (2019)