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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Learning Sum-Product Networks with Direct and Indirect Variable Interactions
Published in ICML, 2014
This paper is about training SPENs using indirect supervision that comes from reward functions.
Recommended citation: Rooshenas, A., Lowd, D., Learning Sum-Product Networks with Direct and Indirect Variable Interactions, In Proc. of the Thirty-First International Conference on Machine Learning, 2014. http://proceedings.mlr.press/v32/rooshenas14.pdf
The Libra Toolkit for Probabilistic Models
Published in JMLR, 2015
The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models. 
Recommended citation: D. Lowd and A. Rooshenas, The Libra Toolkit for Probabilistic Models, Journal of Machine Learning Research, 16:2459-2463, 2015 http://jmlr.org/papers/volume16/lowd15a/lowd15a.pdf
Discriminative Structure Learning of Arithmetic Circuits
Published in AIStats, 2016
This paper is about the importance of discriminative structure learning in comparison to discriminative parameter learning and generative learning for conditional arithemtic circuits.
Recommended citation: Rooshenas, A., Lowd, D., Discriminative Structure Learning of Arithmetic Circuits, In Proc. of 19th International Conference on Artificial Intelligence and Statistics (AISTATS), 2016. http://rooshenas.github.io/files/daclearn.pdf
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
Published in Neurips, 2019
This paper is about training SPENs using indirect supervision that comes from reward functions.
Recommended citation: Rooshenas, A., Zhang, D., Sharma, G., McCallum, A., ." Neurips 2019 1 http://rooshenas.github.io/files/sg_spen_neurips2019.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.