| Sharpness, Restart and Acceleration V Roulet, A d'Aspremont SIAM Journal on Optimization 30 (1), 262-289, 2020 | 108 | 2020 |
| Integration Methods and Optimization Algorithms D Scieur, V Roulet, F Bach, A d'Aspremont Advances in Neural Information Processing Systems 30, 2017 | 93 | 2017 |
| Computational Complexity versus Statistical Performance on Sparse Recovery Problems V Roulet, N Boumal, A d'Aspremont Information and Inference: A Journal of the IMA., 2019 | 25* | 2019 |
| Iterative Linearized Control: Stable Algorithms and Complexity Guarantees V Roulet, S Srinivasa, D Drusvyatskiy, Z Harchaoui Proceedings of the 36th International Conference on Machine Learning 97 …, 2019 | 19 | 2019 |
| A Smoother Way to Train Structured Prediction Models VK Pillutla, V Roulet, SM Kakade, Z Harchaoui Advances in Neural Information Processing Systems 31, 2018 | 18 | 2018 |
| On the Convergence of the Iterative Linear Exponential Quadratic Gaussian Algorithm to Stationary Points V Roulet, M Fazel, S Srinivasa, Z Harchaoui 2020 American Control Conference (ACC), 132-137, 2020 | 16* | 2020 |
| Differentiable Programming à la Moreau V Roulet, Z Harchaoui 2022 IEEE International Conference on Acoustics, Speech and Signal …, 2022 | 6 | 2022 |
| Kernel-based Translations of Convolutional Networks C Jones, V Roulet, Z Harchaoui arXiv preprint arXiv:1903.08131, 2019 | 5 | 2019 |
| Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates V Roulet, S Srinivasa, M Fazel, Z Harchaoui arXiv preprint arXiv:2207.06362, 2022 | 4 | 2022 |
| Complexity bounds of iterative linear quadratic optimization algorithms for discrete time nonlinear control V Roulet, S Srinivasa, M Fazel, Z Harchaoui arXiv preprint arXiv:2204.02322, 2022 | 3 | 2022 |
| Computational complexity versus statistical performance on sparse recovery problems V Roulet, N Boumal, A d’Aspremont arXiv preprint arXiv:1506.03295, 2017 | 3 | 2017 |
| An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks V Roulet, Z Harchaoui 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 2 | 2019 |
| Target propagation via regularized inversion V Roulet, Z Harchaoui arXiv preprint arXiv:2112.01453, 2021 | 1 | 2021 |
| On the Geometry of Optimization Problems and their Structure V Roulet DI-ENS - Département d'informatique de l'École normale supérieure, CNRS …, 2018 | 1 | 2018 |
| Modified Gauss-Newton Algorithms under Noise K Pillutla, V Roulet, S Kakade, Z Harchaoui arXiv preprint arXiv:2305.10634, 2023 | | 2023 |
| Stochastic Optimization for Spectral Risk Measures R Mehta, V Roulet, K Pillutla, L Liu, Z Harchaoui International Conference on Artificial Intelligence and Statistics, 10112-10159, 2023 | | 2023 |
| Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods C Jones, V Roulet, Z Harchaoui Journal of Computational and Graphical Statistics, 1-75, 2022 | | 2022 |
| A Representation-Focused Training Algorithm for Deep Networks V Roulet, C Jones, Z Harchaoui 2022 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2022 | | 2022 |
| Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data C Jones, V Roulet, Z Harchaoui Statistics and Computing 32 (1), 1-24, 2022 | | 2022 |
| The Trade-offs of Incremental Linearization Algorithms for Nonsmooth Composite Problems K Pillutla, V Roulet, SM Kakade, Z Harchaoui Preprint, 2022 | | 2022 |
Alexandre d'AspremontCNRS & Ecole Normale Supérieure, ParisGeverifieerd e-mailadres voor di.ens.fr
