Naveen Raman

About

Hello! I'm a PhD student in the Machine Learning Department at Carnegie Mellon University, advised by Fei Fang, and funded by an NSF Fellowship. My research focuses on human feedback in algorithmic decision-making, and our work has been deployed in domains such as food sustainability and behavioral health. Recently, I've been thinking about:

• Evaluation: How can we best incorporate human preferences when evaluating AI systems?
• Explainability: How can we design explainability methods that complement human decision-makers?
  (Concept Locality, Concepet Uncertainty, Inter-Concept Relationships)
• Choice: How can we design mechanisms that allow for participant choice while maximizing overall welfare?
  (Patient-Provider Matching, Food Rescue Notifications)

Publications

Most recent publications on Google Scholar.
^‡ indicates equal contribution.

• Selected
• All

News

• November 2025 - Gaves talks at Harvard, Columbia, UMD, Rutgers, INFORMS, and The Food Rescue Conference
• October 2025 - Our works on food rescue feedback and LLMs for behavioral health were accepted into IAAI!
• June 2025 - Our work on concept locality was accepted into TMLR!
• May 2025 - Started an internship at Amazon in Palo Alto
• April 2025 - Our work on two-stage RCTs was accepted into ICML!
• February 2025 - Gave talks at the Multi-Agent Learning Group, EAAMO Working Group, and Econ-CS Seminar at CMU
• November 2024 - Gave talks at The Food Rescue Conference and the MARL reading group at UMD
• October 2024 - Our work on patient-provider matching was accepted to ML4H!
• October 2024 - Our paper on global RMABs was accepted into NeurIPS!
• April 2024 - Our paper on inter-concept relationships was accepted into ICML!
• November 2023 - Our paper on spatial locality was accepted into the NeurIPS workshop on XAI!
• August 2023 - Started my PhD program at Carnegie Mellon University
• July 2023 - Graduated from the University of Cambridge
• May 2023 - I presented our work on concept uncertainty at a Gordon Research Seminar
• May 2023 - Our paper on concept uncertainty was accepted into AIES!
• October 2022 - Started school at the University of Cambridge
• May 2022 - Graduated from the University of Maryland
• May 2022 - Finished my internship at the World Resources Institute
• April 2022 - Received the NSF Fellowship for 3 years of grad school funding!
• February 2022 - Started my internship at the World Resources Institute
• January 2022 - Received the Churchill for an MPhil at the University of Cambridge!
• January 2022 - Named a finalist for the CRA Undergraduate Researcher Award!
• November 2021 - Our paper on learning-to-defer algorithms was accepted into the NeurIPS WHMD Workshop!
• October 2021 - Our paper bias in question answering was accepted into the EMNLP MRQA Workshop!
• August 2021 - Finished my internship at MIT Lincoln Labs
• May 2021 - Started my internship at MIT Lincoln Labs
• April 2021 - Our paper on fairness in rideshare was accepted into IJCAI!
• March 2021 - Named a Goldwater Scholar!

Reading List

Acknowledgements