Panagiotis Patrinos

Venues

Frequent coauthors

Papers

1. Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
   NeurIPS 2025 ·

   Alexander Bodard

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2. ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights
   IROS 2025 ·

   Jean Pierre Allamaa

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3. Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
   ICML 2025 ·

   Konstantinos A. Oikonomidis

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4. Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
   NeurIPS 2025 ·

   Konstantinos A. Oikonomidis

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5. Rethinking PCA Through Duality
   NeurIPS 2025 ·

   Jan Quan

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6. Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent
   AISTATS 2025 ·

   Teodor Rotaru

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7. Adaptive Proximal Gradient Methods Are Universal Without Approximation
   ICML 2024 ·

   Konstantinos A. Oikonomidis

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8. Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees
   ECCV 2024 ·

   Robin Kenis

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9. Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
   ICML 2024 ·

   Qinghua Tao

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10. Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
    AAAI 2024 ·

    Sonny Achten

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