Bhargav Bhushanam

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Data Distribution

Recommendation Systems

Top Venues

NAACL-HLT (Findings)

Publications

Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu
Layer Compression of Deep Networks with Straight Flows. AAAI (2024)
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR (2023)
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys (2023)
Newsha Ardalani, Carole-Jean Wu, Zeliang Chen, Bhargav Bhushanam, Adnan Aziz
Understanding Scaling Laws for Recommendation Models. CoRR (2022)
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
AutoShard: Automated Embedding Table Sharding for Recommender Systems. KDD (2022)
Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal
Harmless Transfer Learning for Item Embeddings. NAACL-HLT (Findings) (2022)
Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. UAI (2022)
Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. ICLR (2022)
Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems. CoRR (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR (2022)
Anish Acharya, Sujay Sanghavi, Li Jing, Bhargav Bhushanam, Dhruv Choudhary, Michael Rabbat, Inderjit S. Dhillon
Positive Unlabeled Contrastive Learning. CoRR (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS (2022)
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
AutoShard: Automated Embedding Table Sharding for Recommender Systems. CoRR (2022)
Yan Li, Dhruv Choudhary, Xiaohan Wei, Baichuan Yuan, Bhargav Bhushanam, Tuo Zhao, Guanghui Lan
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits. CoRR (2021)
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. CoRR (2021)
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. ICMLA (2021)