Raghavendra Addanki

Research Scientist

San Jose

I am a Research Scientist at Adobe Research. I completed my Ph.D. in Computer Science from the College of Information and Computer Sciences at the University of Massachusetts Amherst in May 2022, where I was co-advised by Prof. Andrew McGregor and Prof. Cameron Musco. I received a Dissertation Writing Fellowship for my Ph.D. thesis. I was a visiting student in the Causality program at the Simons Institute for the Theory of Computing, Berkeley in 2022. Prior to this, I completed my Bachelors and Masters degrees (dual degree) in Computer Science from the Indian Institute of Technology Madras in 2016.

 

Please visit my website for up-to-date information regarding my current projects: https://raddanki.github.io/

Publications

Leveraging semantic similarity for experimentation with AI-generated treatments

Shi, Lei., Arbour, David., Addanki, Raghavendra., Sinha, Ritwik., Feller, Avi. (Dec. 3, 2025)

Neural Information Processing Systems (NeurIPS 2025)

Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization

Mukherjee, Subhojyoti., Lai, Viet., Addanki, Raghavendra., Rossi, Ryan., Yoon, David., Bui, Trung., Rao, Anup., Subramanian, Jayakumar., Kveton, Branislav. (Dec. 2, 2025)

39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

Continuous Treatment Effects with Surrogate Outcomes

Zeng, Zhenghao., Arbour, David., Feller, Avi., Addanki, Raghavendra., Rossi, Ryan., Sinha, Ritwik., Kennedy, Edward. (Jul. 1, 2024)

International Conference on Machine Learning (ICML)