Publications[Workshops/Conferences/Journals]
2016
- Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni and Dan Roth. Question Answering via Integer Programming over Semi-Structured Knowledge. In IJCAI, 2016.
- Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Turney Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions. In AAAI, 2016
- Shuo Yang, Tushar Khot, Kristian Kersting and Sriraam Natarajan. Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. In AAAI, 2016.
- Mayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting and Sriraam Natarajan. Scaling Lifted Probabilistic Inference and Learning Via Graph Databases. In SDM, 2016.
2015
Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni. Exploring Markov Logic Networks for Question Answering. In EMNLP, 2015
Phillip Odom, Vishal Bangera, Tushar Khot, David Page and Sriraam Natarajan. Extracting Adverse Drug Events from Text using Human Advice. In Artificial Intelligence in Medicine (AIME), 2015.
Phillip Odom, Tushar Khot, Reid Porter, and Sriraam Natarajan Knowledge-Based Probabilistic Logic Learning. In AAAI, 2015.
2014
- Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan. Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. In ICDM 2014.
- Tushar Khot, Sriraam Natarajan, Jude Shavlik. Relational One-Class Classification: A Non-Parametric Approach. In AAAI 2014. [pdf]
2013
- Tushar Khot, Sriraam Natarajan, Kristian Kersting and Jude Shavlik . Learning Relational Probabilistic Models from Partially Observed Data - Opening the Closed-World Assumption. Presented at ILP, 2013. [Invited to special issue of Machine Learning].
- Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting and Prasad Tadepalli. Accelarating Imitation Learning in Relational Domains via Transfer by Initialization. In ILP, 2013. [To appear].
- Sriraam Natarajan, Baidya N. Saha, Saket Joshi, Adam Edwards, Elizabeth Moody, Tushar Khot, Kristian Kersting, Christopher T. Whitlow and Joseph A. Maldjian. Relational Learning helps in Three-way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. International Journal of Machine Learning and Cybernetics, Springer 2013.[doi]
- Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Re and Jude Shavlik. Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text. In StarAI workshop at AAAI 2013. [pdf]
2012
- Tushar Khot, Sriraam Natarajan, Kristian Kersting and Jude Shavlik. Structure Learning with Hidden Data in Relational Domains. In SRL Workshop at ICML, 2012.[pdf].
- Tushar Khot, Siddharth Srivastava, Sriraam Natarajan and Jude Shavlik. Learning Relational Structure for Temporal Relation Extraction. In StarAI workshop at UAI, 2012.[pdf].
- Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann and Jude Shavlik. Gradient-based Boosting for Statistical Relational Learning: The Relational Dependency Network Case. Invited contribution to special issue of Machine Learning, Volume 86, Number 1, 25-56, 2012. [doi]
- Sriraam Natarajan, Saket Joshi, Baidya N. Saha, Adam Edwards, Elizabeth Moody, Tushar Khot, Kristian Kersting, Christopher T. Whitlow and Joseph A. Maldjian. A Machine Learning Pipeline for Three-way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. In ICMLA 2012. [pdf]
- Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting and Prasad Tadepalli. Accelarating Imitation Learning in Relational Domains via Transfer by Initialization. In StarAI workshop at UAI, 2012.[pdf]
2011
- Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude Shavlik.Learning Markov Logic Networks via Functional Gradient Boosting. In ICDM 2011. [pdf]
2010
- Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann and Jude Shavlik. Boosting Relational Dependency Networks. In ILP 2010. [pdf]
- Sriraam Natarajan, Tushar Khot, Daniel Lowd, Kristian Kersting, Prasad Tadepalli and Jude Shavlik. Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. In ECML 2010. [pdf]
2009
- Xiaojin Zhu, Zhiting Xu, and Tushar Khot. How creative is your writing? A linguistic creativity measure from computer science and cognitive psychology perspectives. In NAACL 2009 Workshop on Computational Approaches to Linguistic Creativity, 2009.
[pdf]
- Xiaojin Zhu, Andrew B. Goldberg, and Tushar Khot. Some new directions in graph-based semisupervised learning (invited paper). In ICME, Special Session on Semi-Supervised Learning for Multimedia Analysis, 2009.
[pdf]