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stat.ML2017★ 20 cited
Identifying Best Interventions through Online Importance Sampling
Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis +1
Motivated by applications in computational advertising and systems biology, we consider the problem of identifying the best out of several possible soft interventions at a source n…
stat.ML2012★ 1 cited
Greedy Learning of Markov Network Structure
Praneeth Netrapalli, Siddhartha Banerjee, Sujay Sanghavi +1
We propose a new yet natural algorithm for learning the graph structure of general discrete graphical models (a.k.a. Markov random fields) from samples. Our algorithm finds the nei…