Patrinos, Panagiotis

15 publications

NeurIPS 2025 Escaping Saddle Points Without Lipschitz Smoothness: The Power of Nonlinear Preconditioning Alexander Bodard, Panagiotis Patrinos

ICML 2025 Nonlinearly Preconditioned Gradient Methods Under Generalized Smoothness Konstantinos Oikonomidis, Jan Quan, Emanuel Laude, Panagiotis Patrinos

NeurIPS 2025 Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis Konstantinos Oikonomidis, Jan Quan, Panagiotis Patrinos

NeurIPS 2025 Rethinking PCA Through Duality Jan Quan, Johan Suykens, Panagiotis Patrinos

TMLR 2025 The Inexact Power Augmented Lagrangian Method for Constrained Nonconvex Optimization Alexander Bodard, Konstantinos Oikonomidis, Emanuel Laude, Panagiotis Patrinos

AISTATS 2025 Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent Teodor Rotaru, Panagiotis Patrinos, François Glineur

ICML 2024 Adaptive Proximal Gradient Methods Are Universal Without Approximation Konstantinos Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos

ECCV 2024 Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees Robin Kenis, Emanuel Laude, Panagiotis Patrinos

ICML 2024 Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström Method Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan Suykens

L4DC 2024 On the Convergence of Adaptive First Order Methods: Proximal Gradient and Alternating Minimization Algorithms Puya Latafat, Andreas Themelis, Panagiotis Patrinos

AAAI 2024 Unsupervised Neighborhood Propagation Kernel Layers for Semi-Supervised Node Classification Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens

ICML 2023 Extending Kernel PCA Through Dualization: Sparsity, Robustness and Fast Algorithms Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan Suykens

ICLR 2023 Solving Stochastic Weak Minty Variational Inequalities Without Increasing Batch Size Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher

L4DC 2020 Data-Driven Distributionally Robust LQR with Multiplicative Noise Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos

ICML 2020 Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization Hien Le, Nicolas Gillis, Panagiotis Patrinos