Nicolas Flammarion

Escaping from saddle points on Riemannian manifolds

Maryam Fazel, Nicolas Flammarion, Yue Sun, 2019, NeurIPS.

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Michael I. Jordan, Nilesh Tripuraneni, Francis Bach, 2018, COLT.

Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity

Martin J. Wainwright, Peter L. Bartlett, Nicolas Flammarion, 2019, Bernoulli.

Sampling can be faster than optimization

Michael I. Jordan, Yi-An Ma, Nicolas Flammarion, 2018, Proceedings of the National Academy of Sciences.