According to our database1, Jérôme Malick authored at least 43 papers between 2004 and 2020.
Legend:Book In proceedings Article PhD thesis Other
Approximate Joint Diagonalization with Riemannian Optimization on the General Linear Group.
SIAM J. Matrix Anal. Appl., 2020
SIAM J. Optim., 2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling.
Math. Program., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Riemannian Optimization and Approximate Joint Diagonalization for Blind Source Separation.
IEEE Trans. Signal Process., 2018
J. Optim. Theory Appl., 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
BiqCrunch: A Semidefinite Branch-and-Bound Method for Solving Binary Quadratic Problems.
ACM Trans. Math. Softw., 2017
Regularized decomposition of large scale block-structured robust optimization problems.
Comput. Manag. Sci., 2017
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
Variational-analysis look at combinatorial optimization, and other selected topics in optimization.
Comput. Oper. Res., 2016
Ann. Oper. Res., 2016
Proceedings of the 24th European Signal Processing Conference, 2016
Math. Program., 2014
On the bridge between combinatorial optimization and nonlinear optimization: a family of semidefinite bounds for 0-1 quadratic problems leading to quasi-Newton methods.
Math. Program., 2013
Math. Methods Oper. Res., 2013
Proceedings of the Integer Programming and Combinatorial Optimization, 2013
Math. Program., 2012
J. Optim. Theory Appl., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Comput. Optim. Appl., 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Projection methods for conic feasibility problems: applications to polynomial sum-of-squares decompositions.
Optim. Methods Softw., 2011
Electron. Notes Discret. Math., 2010
Found. Comput. Math., 2009
Newton methods for nonsmooth convex minimization: connections among U-Lagrangian, Riemannian Newton and SQP methods.
Math. Program., 2005
SIAM J. Matrix Anal. Appl., 2004