Kimia Nadjahi

According to our database, Kimia Nadjahi authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Asymmetry in Low-Rank Adapters of Foundation Models.

Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon

CoRR, 2024

2023

Federated Wasserstein Distance.

Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola

CoRR, 2023

Unbalanced Optimal Transport meets Sliced-Wasserstein.

Thibault Séjourné, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty

CoRR, 2023

Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances.

Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola

Proceedings of the International Conference on Machine Learning, 2023

2022

Generalized Sliced Probability Metrics.

Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections.

Kimia Nadjahi, Alain Durmus, Pierre E. Jacob, Roland Badeau, Umut Simsekli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Generalized Sliced Distances for Probability Distributions.

Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour

CoRR, 2020

Statistical and Topological Properties of Sliced Probability Divergences.

Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Simsekli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Approximate Bayesian Computation with the Sliced-Wasserstein Distance.

Kimia Nadjahi, Valentin De Bortoli, Alain Durmus, Roland Badeau, Umut Simsekli

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Safe Policy Improvement with Soft Baseline Bootstrapping.

Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance.

Kimia Nadjahi, Alain Durmus, Umut Simsekli, Roland Badeau

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generalized Sliced Wasserstein Distances.

Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019