Aniruddh Nath - RankMe

22 papers A* 7A 4Journal 4Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Zero-shot Cross-domain Knowledge Distillation: A Case study on YouTube Music. CoRR Srivaths Ranganathan, Nikhil Khani, Shawn Andrews, Chieh Lo, Li Wei, Gergo Varady, Jochen Klingenhoefer, Tim Steele, Bernardo Cunha, Aniruddh Nath, Yanwei Song
2025	A	`conf`	Enhancing Online Ranking Systems via Multi-Surface Co-Training for Content Understanding. RecSys Gwendolyn Zhao, Yilin Zheng, Raghu Keshavan, Lukasz Heldt, Qian Sun, Fabio Soldo, Li Wei, Aniruddh Nath, Nikhil Khani, Weilong Yang, Dapo Omidiran, Rein Zhang, Mei Chen, Lichan Hong, Xinyang Yi
2025	J	`jnl`	Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation. CoRR Nachiket Subbaraman, Jaskinder Sarai, Aniruddh Nath, Lichan Hong, Lukasz Heldt, Li Wei, Zhe Zhao
2025	A	`conf`	Zero-shot Cross-domain Knowledge Distillation: A Case study on YouTube Music. RecSys Srivaths Ranganathan, Chieh Lo, Bernardo Cunha, Nikhil Khani, Li Wei, Aniruddh Nath, Shawn Andrews, Gergo Varady, Yanwei Song, Jochen Klingenhoefer, Tim Steele
2024	A	`conf`	Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. RecSys Nikhil Khani, Li Wei, Aniruddh Nath, Shawn Andrews, Shuo Yang, Yang Liu, Pendo Abbo, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi
2024	J	`jnl`	Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. CoRR Nikhil Khani, Shuo Yang, Aniruddh Nath, Yang Liu, Pendo Abbo, Li Wei, Shawn Andrews, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi
2019	A	`conf`	Recommending what video to watch next: a multitask ranking system. RecSys Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi
2016	A*	`conf`	Learning Tractable Probabilistic Models for Fault Localization. AAAI Aniruddh Nath, Pedro M. Domingos
2016	A*	`conf`	Unifying Logical and Statistical AI. LICS Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2015	A*	`conf`	Learning Relational Sum-Product Networks. AAAI Aniruddh Nath, Pedro M. Domingos
2015	J	`jnl`	Learning Tractable Probabilistic Models for Fault Localization. CoRR Aniruddh Nath, Pedro M. Domingos
2015	—	`—`	Learning and Exploiting Relational Structure for Efficient Inference. Aniruddh Nath
2014	A*	`conf`	Approximate Lifting Techniques for Belief Propagation. AAAI Parag Singla, Aniruddh Nath, Pedro M. Domingos
2014	—	`conf`	Automated Debugging with Tractable Probabilistic Programming. StarAI@AAAI Aniruddh Nath, Pedro M. Domingos
2014	—	`conf`	Learning Tractable Statistical Relational Models. StarAI@AAAI Aniruddh Nath, Pedro M. Domingos
2012	A*	`conf`	Counting-MLNs: Learning Relational Structure for Decision Making. AAAI Aniruddh Nath, Matthew Richardson
2010	—	`conf`	Approximate Lifted Belief Propagation. StarAI@AAAI Parag Singla, Aniruddh Nath, Pedro M. Domingos
2010	A*	`conf`	Efficient Belief Propagation for Utility Maximization and Repeated Inference. AAAI Aniruddh Nath, Pedro M. Domingos
2010	A*	`conf`	Efficient Lifting for Online Probabilistic Inference. AAAI Aniruddh Nath, Pedro M. Domingos
2010	—	`conf`	Efficient Lifting for Online Probabilistic Inference. StarAI@AAAI Aniruddh Nath, Pedro M. Domingos
2010	—	`ch.`	Markov Logic: A Language and Algorithms for Link Mining. Link Mining Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2009	—	`conf`	A Language for Relational Decision Theory. MLG/SRL@ILP Aniruddh Nath, Pedro M. Domingos