Rajeev Verma

I am a first year PhD student at AMLab / Delta Lab supervised by Eric Nalisnick. Previously, I studied Electrical Engineering at the Indian Institute of Technology Patna (IITP) and Artificial Intelligence at the University of Amsterdam (UvA).

My general research interests are in AI safety and responsible AI, and aim to build systems that are maximally useful to the society with provable guarantees. To this end, I am excited about uncertainty quantification and decision making, human-AI compatibility and complementarity, deferral systems, etc.


Nov 21, 2023 Reviewed for ICML’23, NeurIPS’23, and partially for ICLR’24. Also listed as one of the top reviewers for NeurIPS’23.
Nov 1, 2023 Teaching Assistant for the graduate course Human-in-the-Loop Machine Learning at UvA.
Sep 24, 2023 Had a great time attending GenU and ISIPTA earlier this year.
Sep 18, 2023 I was nominated as an ELLIS PhD student.
Apr 25, 2023 Attended and presented a paper at AISTATS’23 in sunny Valencia.

selected publications

    Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
    Verma*, Rajeev, Barrejón*, Daniel, and Nalisnick, Eric
    In Poceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023
  2. ICML
    Calibrated Learning to Defer with One-vs-All Classifiers
    Verma, Rajeev, and Nalisnick, Eric
    In Proceedings of the 39th International Conference on Machine Learning (ICML) 2022