Aniruddh Nath
Google (United States)(US)
Publications by Year
Research Areas
Bayesian Modeling and Causal Inference, Recommender Systems and Techniques, Software Engineering Research, Software Testing and Debugging Techniques, Auction Theory and Applications
Most-Cited Works
- → Recommending what video to watch next(2019)301 cited
- → Learning Relational Sum-Product Networks(2015)31 cited
- A Language for Relational Decision Theory(2009)
- → Efficient Belief Propagation for Utility Maximization and Repeated Inference(2010)26 cited
- → Approximate Lifting Techniques for Belief Propagation(2014)25 cited
- → Learning Tractable Probabilistic Models for Fault Localization(2016)23 cited
- → Efficient Lifting for Online Probabilistic Inference(2010)21 cited
- Approximate lifted belief propagation(2010)
- → Counting-MLNs: Learning Relational Structure for Decision Making(2021)4 cited
- → Markov Logic: A Language and Algorithms for Link Mining(2010)4 cited