Panagiotis Patrinos
11 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (60)
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Prolific Year · Productive
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Conference Pioneer
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Century Club · Bronze
Top co-authors
Research topics
Keywords
semidefinite programming
(2)
non-convex optimization
(2)
kernel principal component analysis
(2)
convergence
(2)
sparse optimization
(1)
linear quadratic regulator
(1)
convergence analysis
(1)
gradient descent
(1)
matrix factorization
(1)
convex relaxation
(1)
empirical evaluation
(1)
alternating minimization
(1)
kernel pca
(1)
block coordinate descent
(1)
variational inequality
(1)
nyström method
(1)
nonsmooth optimization
(1)
proximal gradient
(1)
distributionally robust optimization
(1)
dimensionality reduction
(1)
Papers
Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
ICML 2025
Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent
AISTATS 2025
Adaptive Proximal Gradient Methods Are Universal Without Approximation
ICML 2024
Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees
ECCV 2024
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
ICML 2024
On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms
L4DC 2024
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
AAAI 2024
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
ICML 2023
Solving stochastic weak Minty variational inequalities without increasing batch size
ICLR 2023
Data-driven distributionally robust LQR with multiplicative noise
L4DC 2020
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization
ICML 2020