Nicolas Flammarion - Google Scholar Citations

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	All	Since 2014
Citations	180	179
h-index	7	7
i10-index	4	4

2014201520162017201820192 3 24 37 64 47

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Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Michael I. JordanProfessor of EECS and Professor of Statistics, University of California, BerkeleyVerified email at cs.berkeley.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Yi-An MaUniversity of California, BerkeleyVerified email at berkeley.edu
Niladri S. ChatterjiGraduate Student, Department of Physics, UC BerkeleyVerified email at berkeley.edu
Aymeric DieuleveutPhD student, ENS Paris, InriaVerified email at ens.fr
Philippe RigolletAssociate Professor, Massachusetts Institute of TechnologyVerified email at math.mit.edu
Cheng MaoYale UniversityVerified email at yale.edu
Nilesh TripuraneniUC BerkeleyVerified email at berkeley.edu
Yuansi ChenDepartment of Statistics, University of California, BerkeleyVerified email at berkeley.edu
Chi JinPh.D student, UC BerkeleyVerified email at berkeley.edu
Xiang ChengUC BerkeleyVerified email at berkeley.edu

Nicolas Flammarion

University of California, Berkeley

Verified email at berkeley.edu - Homepage


Title	Cited by	Year
From averaging to acceleration, there is only a step-size N Flammarion, F Bach Conference on Learning Theory, 658-695, 2015	66	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	40	2017
Optimal rates of statistical seriation N Flammarion, C Mao, P Rigollet Bernoulli 25 (1), 623-653, 2019	23	2019
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	20	2018
Averaging stochastic gradient descent on Riemannian manifolds N Tripuraneni, N Flammarion, F Bach, MI Jordan arXiv preprint arXiv:1802.09128, 2018	9	2018
Stochastic Composite Least-Squares Regression with convergence rate O (1/n) N Flammarion, F Bach arXiv preprint arXiv:1702.06429, 2017	9	2017
Robust discriminative clustering with sparse regularizers N Flammarion, B Palaniappan, F Bach The Journal of Machine Learning Research 18 (1), 2764-2813, 2017	7	2017
Sampling can be faster than optimization YA Ma, Y Chen, C Jin, N Flammarion, MI Jordan arXiv preprint arXiv:1811.08413, 2018	4	2018
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	2	2019
Fast Mean Estimation with Sub-Gaussian Rates Y Cherapanamjeri, N Flammarion, PL Bartlett arXiv preprint arXiv:1902.01998, 2019		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		2018
Stochastic approximation and least-squares regression, with applications to machine learning N Flammarion Ecole normale supérieure-ENS PARIS, 2017		2017

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