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Prakruthi Prabhakar
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Conference and Workshop Papers
- 2024
- [c3]Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, S. Sathiya Keerthi, Ajith Muralidharan:
LiMAML: Personalization of Deep Recommender Models via Meta Learning. KDD 2024: 5882-5892 - 2022
- [c2]Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar:
Offline Reinforcement Learning for Mobile Notifications. CIKM 2022: 3614-3623 - [c1]Prakruthi Prabhakar, Yiping Yuan, Guangyu Yang, Wensheng Sun, Ajith Muralidharan:
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning. KDD 2022: 3752-3760
Informal and Other Publications
- 2024
- [i4]Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, Sathiya Keerthi Selvaraj, Ajith Muralidharan:
LiMAML: Personalization of Deep Recommender Models via Meta Learning. CoRR abs/2403.00803 (2024) - 2022
- [i3]Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar:
Offline Reinforcement Learning for Mobile Notifications. CoRR abs/2202.03867 (2022) - [i2]Prakruthi Prabhakar, Yiping Yuan, Guangyu Yang, Wensheng Sun, Ajith Muralidharan:
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning. CoRR abs/2207.03029 (2022) - 2018
- [i1]Prakruthi Prabhakar, Nitish Kulkarni, Linghao Zhang:
Question Relevance in Visual Question Answering. CoRR abs/1807.08435 (2018)
Coauthor Index
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