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Quantitative Propagation of Chaos for SGD in Wide Neural Networks


Jul 14, 2020
Valentin De Bortoli, Alain Durmus, Xavier Fontaine, Umut Simsekli


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The Heavy-Tail Phenomenon in SGD


Jun 08, 2020
Mert Gurbuzbalaban, Umut Simsekli, Lingjiong Zhu


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Generalized Sliced Distances for Probability Distributions


Feb 28, 2020
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Shahin Shahrampour


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Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks


Nov 15, 2019
Alireza Fallah, Mert Gurbuzbalaban, Asuman Ozdaglar, Umut Simsekli, Lingjiong Zhu


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Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns


Mar 11, 2019
Ali Taylan Cemgil, Mehmet Burak Kurutmaz, Sinan Yildirim, Melih Barsbey, Umut Simsekli

* 70 pages, 16 figures 

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Speech enhancement with variational autoencoders and alpha-stable distributions


Feb 08, 2019
Simon Leglaive, Umut Simsekli, Antoine Liutkus, Laurent Girin, Radu Horaud

* IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Brighton, UK, May 2019 
* 5 pages, 3 figures, audio examples and code available online : https://team.inria.fr/perception/research/icassp2019-asvae/. arXiv admin note: text overlap with arXiv:1811.06713 

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Generalized Sliced Wasserstein Distances


Feb 01, 2019
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde


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A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks


Jan 18, 2019
Umut Simsekli, Levent Sagun, Mert Gurbuzbalaban


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