Scholar
Happy Mittal
Google Scholar ID: 7Hem5uYAAAAJ
Senior Applied Scientist, Amazon India
Citations & Impact
Citations
63
H-index
5
i10-index
2
Publications
16
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: [2019] Domain-size Aware Markov Logic Networks, [2018] Lifted Marginal MAP Inference, [2016] Fine Grained Weight Learning in Markov Logic Networks, Analysis and characterisation of comparison shopping behaviour in the mobile handset domain, [2015] Lifted Inference Rules With Constraints, [2014] New Rules for Domain Independent Lifted MAP Inference.
Research Experience
- Started working as an Applied Scientist II in the India Machine Learning Team at Amazon Development Center India, Bengaluru in July 2019; Internship under Dr. Kristian Kersting at Technical University of Dortmund from Sep 2016-Dec 2016, worked on learning tractable deep neural networks, and learning more interpretable object embeddings.
Education
- Ph.D. in the Department of Computer Science at Indian Institute of Technology Delhi, under Dr. Parag Singla, joined in July 2013; M.Tech from the Department of Computer Science at IIT Delhi, completed in June 2013, supervised by Dr. Parag Singla and Dr. Amitabha Bagchi; B.Tech in Information Technology from YMCA University of Science and Technology, Faridabad, graduated in 2011.
Background
- Research Interest: Effective inference & learning in Statistical Relational Models. These models can be used to solve various problems in ML and AI like entity resolution, link prediction, information extraction, computer vision, etc.
Miscellany
- Reviewer for the NeurIPS 2018 workshop on Relational Representation Learning.
