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Publication search results
found 58 matches
- 2024
- Nikita Doikov, Yurii E. Nesterov:
Gradient regularization of Newton method with Bregman distances. Math. Program. 204(1): 1-25 (2024) - 2023
- Miantao Chao, Feifan Nong, Meiyu Zhao:
An inertial alternating minimization with Bregman distance for a class of nonconvex and nonsmooth problems. J. Appl. Math. Comput. 69(2): 1559-1581 (2023) - Zhiyuan Li, Ziru Liu, Anna Zou, Anca L. Ralescu:
Learning Empirical Bregman Divergence for Uncertain Distance Representation. FUSION 2023: 1-8 - Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract). ICDE 2023: 3883-3884 - Fred Lu, Edward Raff, Francis Ferraro:
Neural Bregman Divergences for Distance Learning. ICLR 2023 - Zhiyuan Li, Ziru Liu, Anna Zou, Anca L. Ralescu:
Learning Empirical Bregman Divergence for Uncertain Distance Representation. CoRR abs/2304.07689 (2023) - 2022
- Vahid Mohebbi:
Extragradient method with Bregman distances for solving vector quasi-equilibrium problems. Comput. Appl. Math. 41(8) (2022) - Mostafa Ghadampour, Ebrahim Soori, Ravi P. Agarwal, Donal O'Regan:
A Strong Convergence Theorem for Solving an Equilibrium Problem and a Fixed Point Problem Using the Bregman Distance. J. Optim. Theory Appl. 195(3): 854-877 (2022) - Juan Enrique Martínez-Legaz, Maryam Tamadoni Jahromi, Eskandar Naraghirad:
On Bregman-Type Distances and Their Associated Projection Mappings. J. Optim. Theory Appl. 193(1): 107-117 (2022) - Hui Zhang:
Extragradient and extrapolation methods with generalized Bregman distances for saddle point problems. Oper. Res. Lett. 50(3): 329-334 (2022) - Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances. IEEE Trans. Knowl. Data Eng. 34(3): 1053-1065 (2022) - Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. NeurIPS 2022 - Fred Lu, Edward Raff, Francis Ferraro:
Neural Bregman Divergences for Distance Learning. CoRR abs/2206.04763 (2022) - 2021
- Zehui Jia, Jieru Huang, Xingju Cai:
Proximal-like incremental aggregated gradient method with Bregman distance in weakly convex optimization problems. J. Glob. Optim. 80(4): 841-864 (2021) - Hui Zhang, Yu-Hong Dai, Lei Guo, Wei Peng:
Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions. Math. Oper. Res. 46(1): 61-81 (2021) - Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. SIAM J. Imaging Sci. 14(2): 814-843 (2021) - Regina Sandra Burachik, Minh N. Dao, Scott B. Lindstrom:
The Generalized Bregman Distance. SIAM J. Optim. 31(1): 404-424 (2021) - Hui Zhang:
Extragradient and Extrapolation Methods with Generalized Bregman Distances for Saddle Point Problems. CoRR abs/2101.09916 (2021) - Feihu Huang, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. CoRR abs/2107.12301 (2021) - 2020
- Mohamed Soueycatt, Yara Mohammad, Yamar Hamwi:
Regularization in Banach Spaces with Respect to the Bregman Distance. J. Optim. Theory Appl. 185(2): 327-342 (2020) - Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances. CoRR abs/2006.00227 (2020) - I. R. Bleyer, A. Leitao:
On Tikhonov functionals penalized by Bregman distances. CoRR abs/2012.11017 (2020) - 2019
- Meriem Gharbi, Christian Ebenbauer:
A proximity moving horizon estimator based on Bregman distances and relaxed barrier functions. ECC 2019: 1790-1795 - Birgit Roensch, Wolfgang Stummer:
Robust Estimation by Means of Scaled Bregman Power Distances. Part I. Non-homogeneous Data. GSI 2019: 319-330 - Birgit Roensch, Wolfgang Stummer:
Robust Estimation by Means of Scaled Bregman Power Distances. Part II. Extreme Values. GSI 2019: 331-340 - 2018
- Amine Laghrib, Fatimzehrae Aitbella, Abdelilah Hakim:
A multiframe super-resolution technique based on a nonlocal Bregman distance of bilateral total variation term. Displays 53: 18-29 (2018) - 2017
- Leonie Zeune, Guus van Dalum, Leon W. M. M. Terstappen, Stephan A. van Gils, Christoph Brune:
Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis. SIAM J. Imaging Sci. 10(1): 111-146 (2017) - Amine Laghrib, Abdelilah Hakim, Said Raghay:
An iterative image super-resolution approach based on Bregman distance. Signal Process. Image Commun. 58: 24-34 (2017) - Xi Li, Te Pi, Zhongfei Zhang, Xueyi Zhao, Meng Wang, Xuelong Li, Philip S. Yu:
Learning Bregman Distance Functions for Structural Learning to Rank. IEEE Trans. Knowl. Data Eng. 29(9): 1916-1927 (2017) - Frank Nielsen, Richard Nock:
Generalizing Jensen and Bregman divergences with comparative convexity and the statistical Bhattacharyya distances with comparable means. CoRR abs/1702.04877 (2017)
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