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Roland Badeau

6

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umut-simsekli

"alain-oliviero-durmus"

	Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections Kimia Nadjahi , Alain Durmus , Pierre E. Jacob , Roland Badeau , Umut Şimşekli 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021, En ligne, France Communication dans un congrès hal-03494781v1
	Approximate Bayesian computation with the sliced-Wasserstein distance Kimia Nadjahi , Valentin de Bortoli , Alain Durmus , Roland Badeau , Umut Şimşekli 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. ⟨10.1109/icassp40776.2020.9054735⟩ Communication dans un congrès hal-02457063v1
	Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance Kimia Nadjahi , Alain Durmus , Umut Şimşekli , Roland Badeau NeurIPS 2019, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02280944v1
	Parallelized Stochastic Gradient Markov Chain Monte Carlo Algorithms for Non-Negative Matrix Factorization Umut Şimşekli , Alain Durmus , Roland Badeau , Gael Richard , Éric Moulines 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Mar 2017, New Orleans, United States Communication dans un congrès hal-01416357v1
	Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo Alain Durmus , Umut Şimşekli , Éric Moulines , Roland Badeau , Gael Richard Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Dec 2016, Barcelone, Spain Communication dans un congrès hal-01354064v1

	Approximate Bayesian computation with the sliced-Wasserstein distance Kimia Nadjahi , Valentin de Bortoli , Alain Durmus , Roland Badeau , Umut Şimşekli 2022 Pré-publication, Document de travail hal-03945515v1