Aniruddh Nath

According to our database, Aniruddh Nath authored at least 13 papers between 2010 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Recommending what video to watch next: a multitask ranking system.

Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2016

Unifying Logical and Statistical AI.

Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla

Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science, 2016

Learning Tractable Probabilistic Models for Fault Localization.

Aniruddh Nath, Pedro M. Domingos

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning and Exploiting Relational Structure for Efficient Inference.

Aniruddh Nath

PhD thesis, 2015

Learning Relational Sum-Product Networks.

Aniruddh Nath, Pedro M. Domingos

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Approximate Lifting Techniques for Belief Propagation.

Parag Singla, Aniruddh Nath, Pedro M. Domingos

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Learning Tractable Statistical Relational Models.

Aniruddh Nath, Pedro M. Domingos

Proceedings of the Statistical Relational Artificial Intelligence, 2014

Automated Debugging with Tractable Probabilistic Programming.

Aniruddh Nath, Pedro M. Domingos

Proceedings of the Statistical Relational Artificial Intelligence, 2014

2012

Counting-MLNs: Learning Relational Structure for Decision Making.

Aniruddh Nath, Matthew Richardson

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010

Approximate Lifted Belief Propagation.

Parag Singla, Aniruddh Nath, Pedro M. Domingos

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Efficient Lifting for Online Probabilistic Inference.

Aniruddh Nath, Pedro M. Domingos

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Efficient Belief Propagation for Utility Maximization and Repeated Inference.

Aniruddh Nath, Pedro M. Domingos

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Markov Logic: A Language and Algorithms for Link Mining.

Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla

Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010