| From averaging to acceleration, there is only a step-size N Flammarion, F Bach Conference on Learning Theory, 658-695, 2015 | 70 | 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 | 43 | 2017 |
| Optimal rates of statistical seriation N Flammarion, C Mao, P Rigollet Bernoulli 25 (1), 623-653, 2019 | 26 | 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 | 26 | 2018 |
| Averaging stochastic gradient descent on Riemannian manifolds N Tripuraneni, N Flammarion, F Bach, MI Jordan arXiv preprint arXiv:1802.09128, 2018 | 11 | 2018 |
| Sampling can be faster than optimization YA Ma, Y Chen, C Jin, N Flammarion, MI Jordan arXiv preprint arXiv:1811.08413, 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 | 9 | 2017 |
| Fast mean estimation with sub-Gaussian rates Y Cherapanamjeri, N Flammarion, PL Bartlett arXiv preprint arXiv:1902.01998, 2019 | 6 | 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 | 5 | 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 | | 2019 |
| Escaping from saddle points on Riemannian manifolds Y Sun, N Flammarion, M Fazel arXiv preprint arXiv:1906.07355, 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 |
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr