Roulet, Vincent

13 publications

TMLR 2025 How Far Away Are Truly Hyperparameter-Free Learning Algorithms? Priya Kasimbeg, Vincent Roulet, Naman Agarwal, Sourabh Medapati, Fabian Pedregosa, Atish Agarwala, George E. Dahl

ICML 2025 Joint Learning of Energy-Based Models and Their Partition Function Michael Eli Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel

ICML 2025 Loss Functions and Operators Generated by F-Divergences Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael Eli Sander, Mathieu Blondel

JMLR 2025 On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control Vincent Roulet, Siddhartha Srinivasa, Maryam Fazel, Zaid Harchaoui

ICLR 2024 Distributionally Robust Optimization with Bias and Variance Reduction Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaid Harchaoui

NeurIPS 2024 Stepping on the Edge: Curvature Aware Learning Rate Tuners Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa

NeurIPSW 2023 On the Interplay Between Stepsize Tuning and Progressive Sharpening Vincent Roulet, Atish Agarwala, Fabian Pedregosa

AISTATS 2023 Stochastic Optimization for Spectral Risk Measures Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaid Harchaoui

TMLR 2023 Target Propagation via Regularized Inversion for Recurrent Neural Networks Vincent Roulet, Zaid Harchaoui

ICML 2019 Iterative Linearized Control: Stable Algorithms and Complexity Guarantees Vincent Roulet, Siddhartha Srinivasa, Dmitriy Drusvyatskiy, Zaid Harchaoui

NeurIPS 2018 A Smoother Way to Train Structured Prediction Models Venkata Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaid Harchaoui

NeurIPS 2017 Integration Methods and Optimization Algorithms Damien Scieur, Vincent Roulet, Francis Bach, Alexandre d'Aspremont

NeurIPS 2017 Sharpness, Restart and Acceleration Vincent Roulet, Alexandre d'Aspremont