I gave an invited talk on "Adversarial Statistical Relational AI" at the IJCAI 2016 Workshop on Statistical Relational AI (StarAI). (Slides)
We've received funding from the DARPA Media Forensics (MediFor) program! Over the next 4 years, we will develop Markov logic networks and algorithms to reason about fraudulent images and videos. (Joint team with SRI Princeton and NYU.)
Our paper Discriminative Structure Learning of Arithmetic Circuits was published in the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) (with Pedram Rooshenas).
Our paper A Probabilistic Approach to Knowledge Translation (with Shangpu Jiang and Dejing Dou) was published in AAAI 2016
The Libra Toolkit for Probabilistic Models has been published in the JMLR Open Source Software track! (with Pedram Rooshenas)
Our paper A Probabilistic Approach to Knowledge Translation (with Shangpu Jiang and Dejing Dou) has been accepted to AAAI 2016
Our paper Ontology Matching with Knowledge Rules (with Shangpu Jiang and Dejing Dou) was published in DEXA 2015 and won the Best Paper Award!
Automated Attacks on Compression-Based Classifiers was accepted to the ACM AISec 2015 workshop (with Igor Burago).
I received an ARO Young Investigator Award for my proposal on "Inferring Trustworthiness and Deceit in Adversarial Relational Models"!
I will (again) be serving as Proceedings Chair for the Conference on Uncertainty in Artificial Intelligence (UAI 2015) and Workshops Cochair for AAAI 2016.
Libra version 1.1.1 is now available! Includes better documentation, better interface, bug fixes, and more!
New NSF grant funded -- "EAGER: Machine Learning to Combat Adversarial Attacks"!
Inferring Coarse Views of Connectivity in Very Large Graphs was accepted to COSN 2014 (with Reza Motamedi, Reza Rejaie, Walter Willinger, and Roberto Gonzalez).
Presented tutorial on Learning Tractable Probabilistic Models at UAI 2014 (with Pedro Domingos).
Presented position paper Towards Adversarial Relational Reasoning at StaR AI 2014 (with Brent Lessley, Mino De Raj).
Improving Markov Network Structure Learning Using Decision Trees (with Jesse Davis) has been published in JMLR!
I am serving as Workshops Cochair for AAAI 2015 and 2016.
On Robustness and Regularization of Structural Support Vector Machines (with Ali Torkamani) was accepted to ICML 2014.
Libra version 1.0.1 is now available! Includes new algorithms for learning sum-product networks and mixtures of trees.
I will be serving as Proceedings Chair for the Conference on Uncertainty in Artificial Intelligence (UAI 2014)
I will be serving as co-chair of two ICML 2014 workshops - Learning, Security and Privacy and Learning Tractable Probabilistic Models. Please submit papers! Deadlines are in late March
Improving Markov Network Structure Learning Using Decision Trees (with Jesse Davis) has been published in JMLR!
Learning Sum-Product Networks with Direct and Indirect Interactions (with Pedram Rooshenas) was accepted to ICML 2014.
Our work was presented at the NIPS 2013 Deep Learning Workshop (with Pedram Rooshenas) and Perturbations, Optimization, and Statistics Workshop (with Ali Torkamani).
Received a Google Faculty Award to continue my research on tractable graphical models.
On the Hardness of Evading Combinations of Linear Classifiers accepted for ACM AISec 2013 workshop (with David Stevens).
Convex Adversarial Collective Classification presented at ICML 2013 (with Ali Torkamani).
Our NIH proposal to study health care social networks has been funded (PI: Dejing Dou).
Learning Markov Networks with Arithmetic Circuits presented at AISTATS 2013 (with Pedram Rooshenas).