I am a final year Ph.D student in the Statistics and Data Science Department at Carnegie Mellon University working with Aaditya Ramdas on problems in adaptive and selective inference.

LinkedIn / Google Scholar / CV

Education

• Ph.D in Statistics, Carnegie Mellon University, 2026 (expected)
• M.S. in Statistics, University of Chicago, 2021
• B.A. in Mathematics and Economics, University of Chicago, 2013

Preprints

1. Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
   James Leiner, Robin Dunn, and Aaditya Ramdas. Submitted at Operations Research, 2025.
   arxiv slides code

Publications

1. Scalable causal structure learning via amortized conditional independence testing
   James Leiner, Brian Manzo, Aaditya Ramdas, and Wesley Tansey.
   In Proceedings of the 4th Conference on Causal Learning and Reasoning (CLeaR), 2025. (Oral Talk)
   proc arxiv slides poster code
2. Rejoinder to Discussion of ‘Data fission: splitting a single data point’
   James Leiner, Boyan Duan, Larry Wasserman, and Aaditya Ramdas.
   Journal of the American Statistical Association, 2024.
   paper
3. Graph fission and cross-validation
   James Leiner and Aaditya Ramdas.
   In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
   proc arxiv poster
4. Data fission: splitting a single data point
   James Leiner, Boyan Duan, Larry Wasserman, and Aaditya Ramdas.
   Journal of the American Statistical Association, 2023. (Discussion Paper)
   paper arxiv poster slides talk code