7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification
Burak Çakmak, Yue M. Lu, Manfred Opper
Motivated by the recent application of approximate message passing (AMP) to the analysis of convex optimizations in multi-class classifications [Loureiro, et. al., 2021], we presen…
cs.IT2016★ 7 cited
Self-Averaging Expectation Propagation
Burak Çakmak, Manfred Opper, Bernard H. Fleury +1
We investigate the problem of approximate Bayesian inference for a general class of observation models by means of the expectation propagation (EP) framework for large systems unde…
cs.IT2015★ 3 cited
S-AMP for Non-linear Observation Models
Burak Çakmak, Ole Winther, Bernard H. Fleury
Recently we extended Approximate message passing (AMP) algorithm to be able to handle general invariant matrix ensembles. In this contribution we extend our S-AMP approach to non-l…