Himanshu Jahagirdar

According to our database, Himanshu Jahagirdar authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

Uncertainty-Aware Reinforcement Learning for Conversion-Optimized Content Gating.

Han Jun Yoon, Janith Weerasinghe, Himanshu Jahagirdar, Meng Ling, Suja Thomas, Anuradha Uduwage, Sam Han

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

A Case Study of Offline Reinforcement Learning for Paywall Decisioning.

Janith Weerasinghe, Han Jun Yoon, Meng Ling, Himanshu Jahagirdar, Suja Thomas, Anuradha Uduwage, Sam Han

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

LLM-Based Content Tagging at The Washington Post.

Meng Ling, Himanshu Jahagirdar, Janith Weerasinghe, Han Jun Yoon, Suja Thomas, Anuradha Uduwage, Eui-Hong Han

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

2024

Data Valuation in the Absence of a Reliable Validation Set.

Himanshu Jahagirdar, Jiachen T. Wang, Ruoxi Jia

Trans. Mach. Learn. Res., 2024

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs.

Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning?

Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia

Proceedings of the 32nd USENIX Security Symposium, 2023

2022

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia

CoRR, 2022