MAP inference via \(\ell_2\)-sphere linear program reformulation
From MaRDI portal
Publication:2056127
DOI10.1007/s11263-020-01313-2zbMath1483.62097OpenAlexW3009801594MaRDI QIDQ2056127
Publication date: 1 December 2021
Published in: International Journal of Computer Vision (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11263-020-01313-2
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- On the convergence of the proximal algorithm for nonsmooth functions involving analytic features
- Global convergence of ADMM in nonconvex nonsmooth optimization
- A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
- Anytime AND/OR depth-first search for combinatorial optimization
- Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality
- The Cutting-Plane Method for Solving Convex Programs
- An Automatic Method of Solving Discrete Programming Problems
- Global Convergence of Splitting Methods for Nonconvex Composite Optimization
- Clarke Subgradients of Stratifiable Functions
- MAP Estimation Via Agreement on Trees: Message-Passing and Linear Programming
- Graphical Models, Exponential Families, and Variational Inference
- Factor graphs and the sum-product algorithm
- The Łojasiewicz Inequality for Nonsmooth Subanalytic Functions with Applications to Subgradient Dynamical Systems
This page was built for publication: MAP inference via \(\ell_2\)-sphere linear program reformulation