Peter Ochs

Identifiers

• name variant Peter Ochs 0.60 · backfill

Papers (11)

1. Symmetries in PAC-Bayesian Learning cs.LG · 2025 · author #2
2. Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization math.OC · 2019 · author #2
3. Model Function Based Conditional Gradient Method with Armijo-like Line Search math.OC · 2019 · author #2
4. Lifting Layers: Analysis and Applications cs.CV · 2018 · author #1
5. On Quasi-Newton Forward--Backward Splitting: Proximal Calculus and Convergence math.OC · 2018 · author #3
6. Adaptive FISTA for Non-convex Optimization math.OC · 2017 · author #1
7. Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms math.OC · 2017 · author #1
8. Local Convergence of the Heavy-ball Method and iPiano for Non-convex Optimization math.OC · 2016 · author #1
9. Unifying abstract inexact convergence theorems and block coordinate variable metric iPiano math.OC · 2016 · author #1
10. Techniques for Gradient Based Bilevel Optimization with Nonsmooth Lower Level Problems math.OC · 2016 · author #1
11. iPiano: Inertial Proximal Algorithm for Non-Convex Optimization cs.CV · 2014 · author #1

Mentions

• 1904.03537 #2 · arxiv_oai · confidence 0.70 Peter Ochs
• 1707.02278 #1 · arxiv_oai · confidence 0.70 Peter Ochs
• 2510.17303 #2 · arxiv_oai · confidence 0.70 Peter Ochs
• 1404.4805 #1 · backfill · confidence 0.70 Peter Ochs

Frequent Coauthors

• Thomas Pock 4 shared papers
• Thomas Brox 3 shared papers
• Jalal Fadili 2 shared papers
• Armin Beck 1 shared papers
• Laura Leal-Taixe 1 shared papers
• Mahesh Chandra Mukkamala 1 shared papers
• Michael Moeller 1 shared papers
• Ren\'e Ranftl 1 shared papers
• Shoham Sabach 1 shared papers
• Stephen Becker 1 shared papers
• Tim Meinhardt 1 shared papers
• Yunjin Chen 1 shared papers
• Yura Malitsky 1 shared papers