Остановите войну!
for scientists:
default search action
Search dblp
Full-text search
- > Home
Please enter a search query
- case-insensitive prefix search: default
e.g., sig matches "SIGIR" as well as "signal" - exact word search: append dollar sign ($) to word
e.g., graph$ matches "graph", but not "graphics" - boolean and: separate words by space
e.g., codd model - boolean or: connect words by pipe symbol (|)
e.g., graph|network
Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.
Author search results
Venue search results
no matches
Refine list
refine by author
- no options
- temporarily not available
refine by venue
- no options
- temporarily not available
refine by type
- no options
- temporarily not available
refine by access
- no options
- temporarily not available
refine by year
- no options
- temporarily not available
Publication search results
found 89 matches
- 2024
- Camille Castera, Hédy Attouch, Jalal Fadili, Peter Ochs:
Continuous Newton-like Methods Featuring Inertia and Variable Mass. SIAM J. Optim. 34(1): 251-277 (2024) - Michael Sucker, Jalal Fadili, Peter Ochs:
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation. CoRR abs/2404.03290 (2024) - 2023
- Silvia Bonettini, Peter Ochs, Marco Prato, Simone Rebegoldi:
An abstract convergence framework with application to inertial inexact forward-backward methods. Comput. Optim. Appl. 84(2): 319-362 (2023) - Michael Sucker, Peter Ochs:
PAC-Bayesian Learning of Optimization Algorithms. AISTATS 2023: 8145-8164 - Shida Wang, Jalal Fadili, Peter Ochs:
A Quasi-Newton Primal-Dual Algorithm with Line Search. SSVM 2023: 444-456 - Silvia Bonettini, Peter Ochs, Marco Prato, Simone Rebegoldi:
An abstract convergence framework with application to inertial inexact forward-backward methods. CoRR abs/2302.07545 (2023) - Severin Maier, Camille Castera, Peter Ochs:
Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization. CoRR abs/2311.10053 (2023) - 2022
- Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs:
Global convergence of model function based Bregman proximal minimization algorithms. J. Glob. Optim. 83(4): 753-781 (2022) - Sheheryar Mehmood, Peter Ochs:
Fixed-Point Automatic Differentiation of Forward-Backward Splitting Algorithms for Partly Smooth Functions. CoRR abs/2208.03107 (2022) - Michael Sucker, Peter Ochs:
PAC-Bayesian Learning of Optimization Algorithms. CoRR abs/2210.11113 (2022) - 2021
- Sheheryar Mehmood, Peter Ochs:
Differentiating the Value Function by using Convex Duality. AISTATS 2021: 3871-3879 - Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs:
Bregman Proximal Gradient Algorithms for Deep Matrix Factorization. SSVM 2021: 204-215 - 2020
- Emanuel Laude, Peter Ochs, Daniel Cremers:
Bregman Proximal Mappings and Bregman-Moreau Envelopes Under Relative Prox-Regularity. J. Optim. Theory Appl. 184(3): 724-761 (2020) - Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach:
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization. SIAM J. Math. Data Sci. 2(3): 658-682 (2020) - Amirhossein Kardoost, Kalun Ho, Peter Ochs, Margret Keuper:
Self-supervised Sparse to Dense Motion Segmentation. ACCV (2) 2020: 421-437 - Sheheryar Mehmood, Peter Ochs:
Automatic Differentiation of Some First-Order Methods in Parametric Optimization. AISTATS 2020: 1584-1594 - Amirhossein Kardoost, Kalun Ho, Peter Ochs, Margret Keuper:
Self-supervised Sparse to Dense Motion Segmentation. CoRR abs/2008.07872 (2020) - Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs:
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms. CoRR abs/2012.13161 (2020) - 2019
- Peter Ochs, Jalal Fadili, Thomas Brox:
Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms. J. Optim. Theory Appl. 181(1): 244-278 (2019) - Stephen Becker, Jalal Fadili, Peter Ochs:
On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence. SIAM J. Optim. 29(4): 2445-2481 (2019) - Peter Ochs:
Unifying Abstract Inexact Convergence Theorems and Block Coordinate Variable Metric iPiano. SIAM J. Optim. 29(1): 541-570 (2019) - Peter Ochs, Thomas Pock:
Adaptive FISTA for Nonconvex Optimization. SIAM J. Optim. 29(4): 2482-2503 (2019) - Peter Ochs, Yura Malitsky:
Model Function Based Conditional Gradient Method with Armijo-like Line Search. ICML 2019: 4891-4900 - Mahesh Chandra Mukkamala, Peter Ochs:
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms. NeurIPS 2019: 4268-4278 - Yura Malitsky, Peter Ochs:
Model Function Based Conditional Gradient Method with Armijo-like Line Search. CoRR abs/1901.08087 (2019) - Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach:
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization. CoRR abs/1904.03537 (2019) - Mahesh Chandra Mukkamala, Peter Ochs:
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms. CoRR abs/1905.09050 (2019) - Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs:
Bregman Proximal Framework for Deep Linear Neural Networks. CoRR abs/1910.03638 (2019) - 2018
- Peter Ochs:
Local Convergence of the Heavy-Ball Method and iPiano for Non-convex Optimization. J. Optim. Theory Appl. 177(1): 153-180 (2018) - Jón Arnar Tómasson, Peter Ochs, Joachim Weickert:
AFSI: Adaptive Restart for Fast Semi-Iterative Schemes for Convex Optimisation. GCPR 2018: 669-681
skipping 59 more matches
loading more results
failed to load more results, please try again later
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
retrieved on 2024-05-30 15:47 CEST from data curated by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint