What Cannot be Learned with Bethe Approximations

What Cannot be Learned with Bethe Approximations

Conference on Uncertainty in Artificial Intelligence (UAI), 2011

14 February 2012

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Papers citing "What Cannot be Learned with Bethe Approximations"

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Perturb-and-max-product: Sampling and learning in discrete energy-based modelsNeural Information Processing Systems (NeurIPS), 2021 Miguel Lazaro-Gredilla Antoine Dedieu Dileep George 188 10 0 03 Nov 2021
Bethe Learning of Conditional Random Fields via MAP Decoding K. Tang Nicholas Ruozzi David Belanger Tony Jebara TPM 173 5 0 04 Mar 2015
Approximating the Bethe partition functionConference on Uncertainty in Artificial Intelligence (UAI), 2013 Adrian Weller Tony Jebara 124 29 0 30 Dec 2013
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical ModelsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2013 Zhaoshi Meng Dennis L. Wei A. Wiesel Alfred Hero 173 25 0 19 Mar 2013
Bethe Bounds and Approximating the Global OptimumInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2012 Adrian Weller Tony Jebara 127 15 0 31 Dec 2012