Nicolas Flammarion
Nicolas Flammarion
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Cited by
Cited by
From averaging to acceleration, there is only a step-size
N Flammarion, F Bach
Conference on Learning Theory, 658-695, 2015
Harder, better, faster, stronger convergence rates for least-squares regression
A Dieuleveut, N Flammarion, F Bach
The Journal of Machine Learning Research 18 (1), 3520-3570, 2017
On the theory of variance reduction for stochastic gradient Monte Carlo
NS Chatterji, N Flammarion, YA Ma, PL Bartlett, MI Jordan
arXiv preprint arXiv:1802.05431, 2018
Optimal rates of statistical seriation
N Flammarion, C Mao, P Rigollet
Bernoulli 25 (1), 623-653, 2019
Averaging stochastic gradient descent on Riemannian manifolds
N Tripuraneni, N Flammarion, F Bach, MI Jordan
arXiv preprint arXiv:1802.09128, 2018
Sampling can be faster than optimization
YA Ma, Y Chen, C Jin, N Flammarion, MI Jordan
Proceedings of the National Academy of Sciences 116 (42), 20881-20885, 2019
Fast mean estimation with sub-Gaussian rates
Y Cherapanamjeri, N Flammarion, PL Bartlett
arXiv preprint arXiv:1902.01998, 2019
Is There an Analog of Nesterov Acceleration for MCMC?
YA Ma, N Chatterji, X Cheng, N Flammarion, P Bartlett, MI Jordan
arXiv preprint arXiv:1902.00996, 2019
Square attack: a query-efficient black-box adversarial attack via random search
M Andriushchenko, F Croce, N Flammarion, M Hein
arXiv preprint arXiv:1912.00049, 2019
Stochastic Composite Least-Squares Regression with convergence rate O (1/n)
N Flammarion, F Bach
arXiv preprint arXiv:1702.06429, 2017
Robust discriminative clustering with sparse regularizers
N Flammarion, B Palaniappan, F Bach
The Journal of Machine Learning Research 18 (1), 2764-2813, 2017
Escaping from saddle points on Riemannian manifolds
Y Sun, N Flammarion, M Fazel
Advances in Neural Information Processing Systems, 7276-7286, 2019
An efficient sampling algorithm for non-smooth composite potentials
W Mou, N Flammarion, MJ Wainwright, PL Bartlett
arXiv preprint arXiv:1910.00551, 2019
Improved bounds for discretization of langevin diffusions: Near-optimal rates without convexity
W Mou, N Flammarion, MJ Wainwright, PL Bartlett
arXiv preprint arXiv:1907.11331, 2019
Gen-oja: Simple & efficient algorithm for streaming generalized eigenvector computation
K Bhatia, A Pacchiano, N Flammarion, PL Bartlett, MI Jordan
Advances in Neural Information Processing Systems, 7016-7025, 2018
Stochastic approximation and least-squares regression, with applications to machine learning
N Flammarion
Ecole normale supérieure-ENS PARIS, 2017
Optimal Robust Linear Regression in Nearly Linear Time
Y Cherapanamjeri, E Aras, N Tripuraneni, MI Jordan, N Flammarion, ...
arXiv preprint arXiv:2007.08137, 2020
Understanding and Improving Fast Adversarial Training
M Andriushchenko, N Flammarion
arXiv preprint arXiv:2007.02617, 2020
Online Robust Regression via SGD on the l1 loss
S Pesme, N Flammarion
arXiv preprint arXiv:2007.00399, 2020
On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
S Pesme, A Dieuleveut, N Flammarion
arXiv preprint arXiv:2007.00534, 2020
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