Peter Ochs
Orcid: 0000-0002-4880-7511Affiliations:
- Saarland University, Department of Mathematics, Germany
- University of Freiburg, Department of Computer Science, Germany
According to our database1,
Peter Ochs
authored at least 41 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
SIAM J. Optim., March, 2024
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation.
CoRR, 2024
2023
An abstract convergence framework with application to inertial inexact forward-backward methods.
Comput. Optim. Appl., March, 2023
CoRR, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
J. Glob. Optim., 2022
Fixed-Point Automatic Differentiation of Forward-Backward Splitting Algorithms for Partly Smooth Functions.
CoRR, 2022
2021
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization.
SIAM J. Math. Data Sci., 2020
Bregman Proximal Mappings and Bregman-Moreau Envelopes Under Relative Prox-Regularity.
J. Optim. Theory Appl., 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
Unifying Abstract Inexact Convergence Theorems and Block Coordinate Variable Metric iPiano.
SIAM J. Optim., 2019
SIAM J. Optim., 2019
J. Optim. Theory Appl., 2019
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization.
CoRR, 2019
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
J. Optim. Theory Appl., 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Pattern Recognition - 40th German Conference, 2018
2016
Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems.
J. Math. Imaging Vis., 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
2015
Long term motion analysis for object level grouping and nonsmooth optimization methods = Langzeitanalyse von Bewegungen zur objektorientierten Gruppierung und nichglatte Optimierungsmethoden.
PhD thesis, 2015
On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision.
SIAM J. Imaging Sci., 2015
J. Math. Imaging Vis., 2015
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
2014
SIAM J. Imaging Sci., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
IEEE Trans. Image Process., 2012
Proceedings of the Pattern Recognition, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions.
Proceedings of the IEEE International Conference on Computer Vision, 2011