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Browsing by Author Domke, Justin

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Finito: A faster, permutable incremental gradient method for big data problems

Author(s)Defazio, Aaron; Caetano, Tiberio; Domke, Justin
TypeConference paper
Date Published2014
Date CreatedJune 21-26 2014
01_Domke_Learning_Graphical_Model_2013.pdf.jpg

Learning Graphical Model Parameters with Approximate Marginal Inference

Author(s)Domke, Justin
TypeJournal article
Date Published2013
Date Created-

Loss-Calibrated Monte Carlo Action Selection

Author(s)Abbasnejad, Ehsan; Domke, Justin; Sanner, Scott
TypeConference paper
Date Published2015
Date CreatedJanuary 25-30, 2015

Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets

Author(s)Domke, Justin
TypeConference paper
Date Published2015
Date CreatedDecember 7-12, 2015

Projecting Ising Model Parameters for Fast Mixing

Author(s)Domke, Justin; Liu, Xianghang
TypeConference paper
Date Published2013
Date CreatedDecember 5-8 2013

Projecting Markov Random Field Parameters for Fast Mixing

Author(s)Liu, Xianghang; Domke, Justin
TypeConference paper
Date Published2014
Date Created8-13 December, 2015

Reflection, Refraction, and Hamiltonian Monte Carlo

Author(s)Afshar, Hadi Mohasel; Domke, Justin
TypeConference paper
Date Published2015
Date CreatedDecember 7-12, 2015

Structured Learning via Logistic Regression

Author(s)Domke, Justin
TypeConference paper
Date Published2013
Date CreatedDecember 5-8 2013
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