Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation

• Main Authors: KUMAR, Akshat, ZILBERSTEIN, Shlomo
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/2205; https://ink.library.smu.edu.sg/context/sis_research/article/3205/viewcontent/1202.3739.pdf
• Institution: Singapore Management University

Computing maximum a posteriori (MAP) estimation in graphical models is an important inference problem with many applications. We present message-passing algorithms for quadratic programming (QP) formulations of MAP estimation for pairwise Markov random fields. In particular, we use the concave-conve...