Ochs, Peter

13 publications

ICML 2025 A Generalization Result for Convergence in Learning-to-Optimize Michael Sucker, Peter Ochs

ICML 2025 Automatic Differentiation of Optimization Algorithms with Time-Varying Updates Sheheryar Mehmood, Peter Ochs

AISTATS 2025 From Learning to Optimize to Learning Optimization Algorithms Camille Castera, Peter Ochs

JMLR 2025 Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation Michael Sucker, Jalal Fadili, Peter Ochs

AISTATS 2023 PAC-Bayesian Learning of Optimization Algorithms Michael Sucker, Peter Ochs

AISTATS 2021 Differentiating the Value Function by Using Convex Duality Sheheryar Mehmood, Peter Ochs

AISTATS 2020 Automatic Differentiation of Some First-Order Methods in Parametric Optimization Sheheryar Mehmood, Peter Ochs

NeurIPS 2019 Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms Mahesh Chandra Mukkamala, Peter Ochs

ICML 2019 Model Function Based Conditional Gradient Method with Armijo-like Line Search Peter Ochs, Yura Malitsky

ECCV 2018 Lifting Layers: Analysis and Applications Peter Ochs, Tim Meinhardt, Laura Leal-Taixe, Michael Moeller

CVPR 2013 An Iterated L1 Algorithm for Non-Smooth Non-Convex Optimization in Computer Vision Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock

CVPR 2012 Higher Order Motion Models and Spectral Clustering Peter Ochs, Thomas Brox

ICCV 2011 Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions Peter Ochs, Thomas Brox