Peter Ochs
11 papers · 2013–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (12) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Hot Topic Early Bird
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Cross-Pollinator
(10)
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Keyword Champion
(2)
π§¬
Topic Evolution
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Century Club
(11)
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Conference Pioneer
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Trend Setter
Conferences
AISTATS (4)
ICML (3)
CVPR (1)
ECCV (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
matrix factorization
(2)
optimization algorithm
(2)
pac-bayesian bound
(2)
parametric optimization
(2)
non-convex optimization
(2)
generalization guarantee
(2)
learning to optimize
(2)
image denoising
(1)
alternating minimization
(1)
automatic differentiation
(1)
image deconvolution
(1)
exponential families
(1)
optical flow
(1)
gradient descent
(1)
hyperparameter optimization
(1)
value function
(1)
support vector machine
(1)
image processing
(1)
convergence rate
(1)
pac-bayes theory
(1)
Papers
From Learning to Optimize to Learning Optimization Algorithms
AISTATS 2025
Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
ICML 2025
A Generalization Result for Convergence in Learning-to-Optimize
ICML 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
NIPS 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