Fadili, Jalal

8 publications

JMLR 2025 Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation Michael Sucker, Jalal Fadili, Peter Ochs

COLT 2020 Wasserstein Control of Mirror Langevin Monte Carlo Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra

AISTATS 2019 Model Consistency for Learning with Mirror-Stratifiable Regularizers Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré

NeurIPS 2016 A Multi-Step Inertial Forward-Backward Splitting Method for Non-Convex Optimization Jingwei Liang, Jalal Fadili, Gabriel Peyré

NeurIPS 2016 Sparse Support Recovery with Non-Smooth Loss Functions Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques

NeurIPS 2014 Local Linear Convergence of Forward--Backward Under Partial Smoothness Jingwei Liang, Jalal Fadili, Gabriel Peyré

NeurIPS 2012 A Quasi-Newton Proximal Splitting Method Stephen Becker, Jalal Fadili

CVPR 2006 Wire Structure Pattern Extraction and Tracking from X-Ray Images of Composite Mechanisms David Tschumperlé, Jalal Fadili