Peter Ochs
11 papers · 2013–2025 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (21) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Half
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Keyword Collector
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Research topics
Keywords
optimization algorithm
(3)
learning to optimize
(3)
matrix factorization
(2)
non-convex optimization
(2)
parametric optimization
(2)
automatic differentiation
(2)
pac-bayesian bound
(2)
generalization guarantee
(2)
convergence rate
(2)
exponential families
(1)
alternating minimization
(1)
image deconvolution
(1)
image denoising
(1)
optical flow
(1)
convergence
(1)
gradient descent
(1)
hyperparameter optimization
(1)
generalization
(1)
proximal gradient descent
(1)
image processing
(1)
Papers
A Generalization Result for Convergence in Learning-to-Optimize
ICML 2025
Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
ICML 2025
From Learning to Optimize to Learning Optimization Algorithms
AISTATS 2025
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation
JMLR 2025
PAC-Bayesian Learning of Optimization Algorithms
AISTATS 2023
Differentiating the Value Function by using Convex Duality
AISTATS 2021
Automatic Differentiation of Some First-Order Methods in Parametric Optimization
AISTATS 2020
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
NeurIPS 2019
Model Function Based Conditional Gradient Method with Armijo-like Line Search
ICML 2019
Lifting Layers: Analysis and Applications
ECCV 2018
An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision
CVPR 2013