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Nathan Kallus

Cornell University (from arXiv:2509.21172, 2025) · ORCID · OpenAlex

51 papers in scope · 36 published · 21 on the econ.EM arXiv · 899 citations · h-index 18 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Andrew Bennett
  2. Xiaojie Mao
  3. Vasilis Syrgkanis
  4. Masatoshi Uehara
  5. Whitney K. Newey
  6. Kevin Guo
  7. Greg Lewis
  8. Rahul Singh
  9. Si Kai Lee
  10. Arash Mehrjou
  11. Anant Raj
  12. Nishanth Dikkala
  13. Krikamol Muandet
  14. Tobias Schnabel
  15. Victor Chernozhukov
  16. Guido W. Imbens
  17. Yuhao Wang
  18. Lester Mackey
  19. Jacob Dorn
  20. Angela Zhou

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(20 of 51)

Bellman Calibration for $V$-Learning in Offline Reinforcement Learning
working paper2025 · arXiv
with Lars van der Laan
Paper profile arXiv arXiv:2512.23694
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model
working paper2025 · arXiv
Paper profile arXiv arXiv:2512.21917
Inference on strongly identified functionals of weakly identified functions
published2025 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2 citations · first circulated 2022
with Andrew Bennett, Xiaojie Mao, Whitney K. Newey, Vasilis Syrgkanis, Masatoshi Uehara, Whitney Newey
Paper profile Journal of the Royal Statistical Society Series B (Statistical Methodology) arXiv:2208.08291
Inverse Reinforcement Learning with Just Classification and a Few Regressions
working paper2025 · arXiv
with Lars van der Laan, Aurélien Bibaut
Paper profile arXiv arXiv:2509.21172
Demystifying Inference After Adaptive Experiments
published2025 · Annual Review of Statistics and Its Application · 3 citations
with Aurélien Bibaut
Annual Review of Statistics and Its Application
Adjusting regression models for conditional uncertainty calibration
published2024 · Machine Learning
with Ruijiang Gao, Mingzhang Yin, James O. McInerney
Machine Learning
On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
published2024 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 19 citations · first circulated 2020
with Xiaojie Mao
Journal of the Royal Statistical Society Series B (Statistical Methodology)
Long-term causal inference under persistent confounding via data combination
published2024 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 10 citations · first circulated 2022
with Guido W. Imbens, Xiaojie Mao, Yuhao Wang
Paper profile Journal of the Royal Statistical Society Series B (Statistical Methodology) arXiv:2202.07234
Demistifying Inference after Adaptive Experiments
working paper2024 · arXiv
with Aurélien Bibaut
Paper profile arXiv arXiv:2405.01281
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding
published2024 · Journal of the American Statistical Association · 4 citations · first circulated 2021
with Jacob Dorn, Kevin Guo
Paper profile Journal of the American Statistical Association arXiv:2112.11449
Applied Causal Inference Powered by ML and AI
working paper2024 · arXiv · 36 citations
with Victor Chernozhukov, Christian Hansen, Martin Spindler, Vasilis Syrgkanis
Paper profile arXiv arXiv:2403.02467
Synthetic Control Analysis of the Short-Term Impact of New York State’s Bail Elimination Act on Aggregate Crime
published2023 · Statistics and Public Policy · 5 citations
with Angela Zhou, Andrew B. Koo, René Ropac, Richard E. Peterson, Stephen Koppel, Tiffany Bergin
Statistics and Public Policy
Efficient evaluation of natural stochastic policies in off-line reinforcement learning
published2023 · Biometrika · 5 citations
with Masatoshi Uehara
Biometrika
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes
published2023 · Operations Research · 24 citations · first circulated 2021
with Andrew Bennett
Operations Research
Source Condition Double Robust Inference on Functionals of Inverse Problems
working paper2023 · arXiv · 1 citations
with Andrew F. Bennett, Xiaojie Mao, Whitney K. Newey, Vasilis Syrgkanis, Masatoshi Uehara
Paper profile arXiv arXiv:2307.13793
Treatment Effect Risk: Bounds and Inference
published2023 · Management Science · 5 citations · first circulated 2022
Paper profile Management Science arXiv:2201.05893
The variational method of moments
published2023 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 10 citations · first circulated 2020
with Andrew Bennett
Paper profile Journal of the Royal Statistical Society Series B (Statistical Methodology) arXiv:2012.09422
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness
working paper2023 · arXiv
with Andrew F. Bennett, Xiaojie Mao, Whitney K. Newey, Vasilis Syrgkanis, Masatoshi Uehara
Paper profile arXiv arXiv:2302.05404
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
working paper2022 · arXiv · 2 citations
with Aurélien Bibaut, Michael Lindon
Paper profile arXiv arXiv:2212.14411
The Power and Limits of Predictive Approaches to Observational Data-Driven Optimization: The Case of Pricing
published2022 · 15 citations · first circulated 2016
with Dimitris Bertsimas
publisher
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
working paper2022 · arXiv · 1 citations
with Miruna Oprescu
Paper profile arXiv arXiv:2205.11486
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
working paper2022 · arXiv · 4 citations
Paper profile arXiv arXiv:2205.10327
Fast Rates for Contextual Linear Optimization
published2022 · Management Science · 35 citations · first circulated 2020
with Yichun Hu, Xiaojie Mao
Management Science
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning
published2022 · Operations Research · 57 citations · first circulated 2019
with Masatoshi Uehara
Operations Research
Smooth Contextual Bandits: Bridging the Parametric and Nondifferentiable Regret Regimes
published2022 · Operations Research · 20 citations · first circulated 2019
with Yichun Hu, Xiaojie Mao
Operations Research
Optimal weighting for estimating generalized average treatment effects
published2022 · Journal of Causal Inference · 5 citations
with Michele Santacatterina
Journal of Causal Inference
An Empirical Evaluation of the Impact of New York's Bail Reform on Crime Using Synthetic Controls
working paper2021 · arXiv · 2 citations
with Angela Zhou, Andrew Koo, René Ropac, Richard Peterson, Stephen Koppel, Tiffany Bergin, Andrew B. Koo, Richard E. Peterson
Paper profile arXiv arXiv:2111.08664
Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models
working paper2021 · arXiv · 6 citations
with Guido W. Imbens, Xiaojie Mao
Paper profile arXiv arXiv:2108.03849
Rejoinder: New Objectives for Policy Learning
published2021 · Journal of the American Statistical Association
Journal of the American Statistical Association
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference
published2021 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1 citations · first circulated 2020
Journal of the Royal Statistical Society Series B (Statistical Methodology)
More robust estimation of average treatment effects using kernel optimal matching in an observational study of spine surgical interventions
published2021 · Statistics in Medicine · 8 citations · first circulated 2018
with Brenton Pennicooke, Michele Santacatterina
Statistics in Medicine
Optimal balancing of time-dependent confounders for marginal structural models
published2021 · Journal of Causal Inference · 16 citations · first circulated 2018
with Michele Santacatterina
Journal of Causal Inference
Minimax-Optimal Policy Learning Under Unobserved Confounding
published2020 · Management Science · 34 citations
with Angela Zhou
Management Science
More Efficient Policy Learning via Optimal Retargeting
published2020 · Journal of the American Statistical Association · 23 citations
Journal of the American Statistical Association
Dynamic Assortment Personalization in High Dimensions
published2020 · Operations Research · 16 citations
with Madeleine Udell
Operations Research
Efficient Policy Learning from Surrogate-Loss Classification Reductions
working paper2020 · arXiv · 7 citations
with Andrew Bennett
Paper profile arXiv arXiv:2002.05153
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
published2020 · Neural Information Processing Systems · 12 citations
with Angela Zhou
Neural Information Processing Systems
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies
published2020 · Neural Information Processing Systems · 3 citations
with Masatoshi Uehara
Neural Information Processing Systems
From Predictive to Prescriptive Analytics
published2019 · Management Science · 42 citations
with Dimitris Bertsimas
Management Science
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning
published2019 · Neural Information Processing Systems · 23 citations
with Masatoshi Uehara
Neural Information Processing Systems
Deep Generalized Method of Moments for Instrumental Variable Analysis
working paper2019 · arXiv · 31 citations
with Andrew Bennett, Tobias Schnabel
Paper profile arXiv arXiv:1905.12495
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
working paper2019 · arXiv · 8 citations
with Angela Zhou
Paper profile arXiv arXiv:1906.01552
Residual Unfairness in Fair Machine Learning from Prejudiced Data
published2018 · International Conference on Machine Learning · 46 citations
with Angela Zhou
International Conference on Machine Learning
Instrument-Armed Bandits
published2018 · Algorithmic Learning Theory · 7 citations
no link
Policy Evaluation and Optimization with Continuous Treatments
published2018 · International Conference on Artificial Intelligence and Statistics · 43 citations
with Angela Zhou
International Conference on Artificial Intelligence and Statistics
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
published2018 · Neural Information Processing Systems · 25 citations
with Xiaojie Mao, Madeleine Udell
Neural Information Processing Systems
Balanced Policy Evaluation and Learning
published2018 · Neural Information Processing Systems · 63 citations · first circulated 2017
Neural Information Processing Systems
Optimal A Priori Balance in the Design of Controlled Experiments
published2017 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 69 citations · first circulated 2013
Journal of the Royal Statistical Society Series B (Statistical Methodology)
A Framework for Optimal Matching for Causal Inference
published2017 · International Conference on Artificial Intelligence and Statistics · 13 citations · first circulated 2016
International Conference on Artificial Intelligence and Statistics
Inventory Management in the Era of Big Data
published2016 · Production and Operations Management · 36 citations
with Dimitris Bertsimas, Amjad Hussain
Production and Operations Management
The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples
published2015 · Operations Research · 102 citations
with Dimitris Bertsimas, Mac Johnson
Operations Research

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.