165 citations · 193 across the 3 of their papers we have counts for
3 papers
cs.LG2015
Incorporating Type II Error Probabilities from Independence Tests into Score-Based Learning of Bayesian Network Structure
Eliot Brenner, David Sontag
We give a new consistent scoring function for structure learning of Bayesian networks. In contrast to traditional approaches to score-based structure learning, such as BDeu or MDL,…
cs.LG2012★ 165 cited
A Practical Algorithm for Topic Modeling with Provable Guarantees
Sanjeev Arora, Rong Ge, Yoni Halpern +5
Topic models provide a useful method for dimensionality reduction and exploratory data analysis in large text corpora. Most approaches to topic model inference have been based on a…
cs.DS2012★ 28 cited
Efficiently Searching for Frustrated Cycles in MAP Inference
David Sontag, Do Kook Choe, Yitao Li
Dual decomposition provides a tractable framework for designing algorithms for finding the most probable (MAP) configuration in graphical models. However, for many real-world infer…