Vincent Roulet

42 papers A* 6A 1C 1Misc 2Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction. CoRR Mathieu Blondel, Michael E. Sander, Germain Vivier-Ardisson, Tianlin Liu, Vincent Roulet
2025	J	`jnl`	How far away are truly hyperparameter-free learning algorithms? CoRR Priya Kasimbeg, Vincent Roulet, Naman Agarwal, Sourabh Medapati, Fabian Pedregosa, Atish Agarwala, George E. Dahl
2025	J	`jnl`	How far away are truly hyperparameter-free learning algorithms? Trans. Mach. Learn. Res. Priya Kasimbeg, Vincent Roulet, Naman Agarwal, Sourabh Medapati, Fabian Pedregosa, Atish Agarwala, George E. Dahl
2025	A*	`conf`	Joint Learning of Energy-based Models and their Partition Function. ICML Michael Eli Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel
2025	J	`jnl`	Joint Learning of Energy-based Models and their Partition Function. CoRR Michael E. Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel
2025	A*	`conf`	Loss Functions and Operators Generated by f-Divergences. ICML Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael Eli Sander, Mathieu Blondel
2025	J	`jnl`	Loss Functions and Operators Generated by f-Divergences. CoRR Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael E. Sander, Mathieu Blondel
2025	J	`jnl`	On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control. J. Mach. Learn. Res. Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui
2025	J	`jnl`	Per-example gradients: a new frontier for understanding and improving optimizers. CoRR Vincent Roulet, Atish Agarwala
2024	A*	`conf`	Distributionally Robust Optimization with Bias and Variance Reduction. ICLR Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaïd Harchaoui
2024	J	`jnl`	Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates. Open J. Math. Optim. Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui
2024	A*	`conf`	Stepping on the Edge: Curvature Aware Learning Rate Tuners. NeurIPS Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa
2024	J	`jnl`	Stepping on the Edge: Curvature Aware Learning Rate Tuners. CoRR Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa
2024	J	`jnl`	The Elements of Differentiable Programming. CoRR Mathieu Blondel, Vincent Roulet
2023	J	`jnl`	Distributionally Robust Optimization with Bias and Variance Reduction. CoRR Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaïd Harchaoui
2023	J	`jnl`	Dual Gauss-Newton Directions for Deep Learning. CoRR Vincent Roulet, Mathieu Blondel
2023	—	`conf`	Modified Gauss-Newton Algorithms under Noise. SSP Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui
2023	J	`jnl`	Modified Gauss-Newton Algorithms under Noise. CoRR Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui
2023	J	`jnl`	On the Interplay Between Stepsize Tuning and Progressive Sharpening. CoRR Vincent Roulet, Atish Agarwala, Fabian Pedregosa
2023	J	`jnl`	Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods. J. Comput. Graph. Stat. Corinne Jones, Vincent Roulet, Zaïd Harchaoui
2023	A	`conf`	Stochastic Optimization for Spectral Risk Measures. AISTATS Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaïd Harchaoui
2023	J	`jnl`	Target Propagation via Regularized Inversion for Recurrent Neural Networks. Trans. Mach. Learn. Res. Vincent Roulet, Zaïd Harchaoui
2022	Misc	`conf`	Differentiable Programming A La Moreau. ICASSP Vincent Roulet, Zaïd Harchaoui
2022	J	`jnl`	Discriminative clustering with representation learning with any ratio of labeled to unlabeled data. Stat. Comput. Corinne Jones, Vincent Roulet, Zaïd Harchaoui
2022	J	`jnl`	Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates. CoRR Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui
2022	J	`jnl`	Stochastic Optimization for Spectral Risk Measures. CoRR Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaïd Harchaoui
2021	Misc	`conf`	On the Smoothing of Deep Networks. CISS Vincent Roulet, Zaïd Harchaoui
2021	J	`jnl`	Target Propagation via Regularized Inversion. CoRR Vincent Roulet, Zaïd Harchaoui
2020	J	`jnl`	An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks. CoRR Vincent Roulet, Zaïd Harchaoui
2020	J	`jnl`	Differentiable Programming à la Moreau. CoRR Vincent Roulet, Zaïd Harchaoui
2020	C	`conf`	On the Convergence of the Iterative Linear Exponential Quadratic Gaussian Algorithm to Stationary Points. ACC Vincent Roulet, Maryam Fazel, Siddhartha S. Srinivasa, Zaïd Harchaoui
2020	J	`jnl`	Sharpness, Restart, and Acceleration. SIAM J. Optim. Vincent Roulet, Alexandre d'Aspremont
2019	J	`jnl`	A Smoother Way to Train Structured Prediction Models. CoRR Venkata Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui
2019	—	`conf`	An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks. Allerton Vincent Roulet, Zaïd Harchaoui
2019	J	`jnl`	End-to-end Learning, with or without Labels. CoRR Corinne Jones, Vincent Roulet, Zaïd Harchaoui
2019	A*	`conf`	Iterative Linearized Control: Stable Algorithms and Complexity Guarantees. ICML Vincent Roulet, Dmitriy Drusvyatskiy, Siddhartha S. Srinivasa, Zaïd Harchaoui
2019	J	`jnl`	Kernel-based Translations of Convolutional Networks. CoRR Corinne Jones, Vincent Roulet, Zaïd Harchaoui
2018	A*	`conf`	A Smoother Way to Train Structured Prediction Models. NeurIPS Venkata Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui
2017	—	`conf`	Integration Methods and Optimization Algorithms. NIPS Damien Scieur, Vincent Roulet, Francis R. Bach, Alexandre d'Aspremont
2017	—	`conf`	Sharpness, Restart and Acceleration. NIPS Vincent Roulet, Alexandre d'Aspremont
2017	—	`—`	Sur la géométrie de problèmes d'optimisation et leur structure. (On the geometry of optimization problems and their structure). Vincent Roulet
2015	J	`jnl`	Supervised Clustering in the Data Cube. CoRR Vincent Roulet, Fajwel Fogel, Alexandre d'Aspremont, Francis R. Bach