A Language for Relational Decision Theory. - Aniruddh Nath; Pedro M. Domingos (MLG/SRL@ILP, 2009)

Markov Logic: A Language and Algorithms for Link Mining. - Pedro M. Domingos; Daniel Lowd; Stanley Kok; Aniruddh Nath; Hoifung Poon; Matthew Richardson; Parag Singla (Link Mining, 2010)

Efficient Belief Propagation for Utility Maximization and Repeated Inference. - Aniruddh Nath; Pedro M. Domingos (AAAI, 2010)

Efficient Lifting for Online Probabilistic Inference. - Aniruddh Nath; Pedro M. Domingos (AAAI, 2010)

Approximate Lifted Belief Propagation. - Parag Singla; Aniruddh Nath; Pedro M. Domingos (StarAI@AAAI, 2010)

Counting-MLNs: Learning Relational Structure for Decision Making. - Aniruddh Nath; Matthew Richardson (AAAI, 2012)

Automated Debugging with Tractable Probabilistic Programming. - Aniruddh Nath; Pedro M. Domingos (StarAI@AAAI, 2014)

Learning Tractable Statistical Relational Models. - Aniruddh Nath; Pedro M. Domingos (StarAI@AAAI, 2014)

Approximate Lifting Techniques for Belief Propagation. - Parag Singla; Aniruddh Nath; Pedro M. Domingos (AAAI, 2014)

Learning Relational Sum-Product Networks. - Aniruddh Nath; Pedro M. Domingos (AAAI, 2015)

Learning and Exploiting Relational Structure for Efficient Inference. - Aniruddh Nath (2015)

Learning Tractable Probabilistic Models for Fault Localization. - Aniruddh Nath; Pedro M. Domingos (AAAI, 2016)

Unifying Logical and Statistical AI. - Pedro M. Domingos; Daniel Lowd; Stanley Kok; Aniruddh Nath; Hoifung Poon; Matthew Richardson; Parag Singla (LICS, 2016)

Recommending what video to watch next: a multitask ranking system. - Zhe Zhao 001; Lichan Hong; Li Wei; Jilin Chen; Aniruddh Nath; Shawn Andrews; Aditee Kumthekar; Maheswaran Sathiamoorthy; Xinyang Yi; Ed H. Chi (RecSys, 2019)

Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. - Nikhil Khani; Li Wei; Aniruddh Nath; Shawn Andrews; Shuo Yang; Yang Liu 136; Pendo Abbo; Maciej Kula; Jarrod Kahn; Zhe Zhao 001; Lichan Hong; Ed H. Chi (RecSys, 2024)