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Vasilis Syrgkanis

Stanford University (from arXiv:2604.12263, 2026) · OpenAlex

55 papers in scope · 19 published · 39 on the econ.EM arXiv · 699 citations · h-index 15 (over the papers listed here)

Related authors

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

  1. Victor Chernozhukov
  2. Whitney K. Newey
  3. Rahul Singh
  4. Nathan Kallus
  5. James M. Robins
  6. Greg Lewis
  7. Andrew Bennett
  8. Susan Athey
  9. Masatoshi Uehara
  10. Xiaojie Mao
  11. Stefan Wager
  12. Christian Hansen
  13. Guido W. Imbens
  14. Juan Carlos Escanciano
  15. Victor Quintas-Martinez
  16. Lester Mackey
  17. Nishanth Dikkala
  18. Hidehiko Ichimura
  19. Qizhao Chen
  20. Morgane Austern

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

(40 of 55)

The Partial Testimony of Logs: Evaluation of Language Model Generation under Confounded Model Choice
working paper2026 · arXiv
with Jikai Jin
Paper profile arXiv arXiv:2605.01311
Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport
working paper2026 · arXiv
with Jiyuan Tan, Jose Blanchet
Paper profile arXiv arXiv:2604.12263
Post Reinforcement Learning Inference
published2025 · Operations Research · 1 citations · first circulated 2023
with Ruohan Zhan
Paper profile Operations Research arXiv:2302.08854
Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
working paper2025 · arXiv
with Jikai Jin
Paper profile arXiv arXiv:2512.17341
Adversarial Estimation of Riesz Representers
published2025 · Journal of the American Statistical Association · 5 citations · first circulated 2021
with Victor Chernozhukov, Whitney K. Newey, Rahul Singh
Paper profile Journal of the American Statistical Association arXiv:2101.00009
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, Nathan Kallus, Xiaojie Mao, Whitney K. Newey, Masatoshi Uehara, Whitney Newey
Paper profile Journal of the Royal Statistical Society Series B (Statistical Methodology) arXiv:2208.08291
Policy Learning with Abstention
working paper2025 · arXiv
with Ayush Sawarni, Jikai Jin, Justin Whitehouse
Paper profile arXiv arXiv:2510.19672
Inference on Optimal Policy Values and Other Irregular Functionals via Softmax Smoothing
working paper2025 · arXiv
with Justin Whitehouse, Qizhao Chen, Morgane Austern
Paper profile arXiv arXiv:2507.11780
Conditional Influence Functions
working paper2024 · arXiv
with Victor Chernozhukov, Whitney K. Newey
Paper profile arXiv arXiv:2412.18080
Automatic Doubly Robust Forests
working paper2024 · arXiv
with Zhaomeng Chen, Junting Duan, Victor Chernozhukov
Paper profile arXiv arXiv:2412.07184
Switchback Price Experiments with Forward-Looking Demand
working paper2024 · arXiv · 1 citations
with Yifan Wu, Ramesh Johari, Gabriel Y. Weintraub
Paper profile arXiv arXiv:2410.14904
Causal Inference under Incentives: An Annotated Reading List
published2024 · ACM SIGecom Exchanges
with Keegan Harris
ACM SIGecom Exchanges
Order-Explicit Linearization of High-Dimensional $U$-Statistics
working paper2024 · arXiv · 1 citations
with David M. Ritzwoller
Paper profile arXiv arXiv:2405.07860
Dynamic Local Average Treatment Effects
working paper2024 · arXiv · 1 citations
with Ravi B. Sojitra
Paper profile arXiv arXiv:2405.01463
Regularized DeepIV with Model Selection
working paper2024 · arXiv
with Zihao Li, Hui Lan, Mengdi Wang, Masatoshi Uehara
Paper profile arXiv arXiv:2403.04236
Applied Causal Inference Powered by ML and AI
working paper2024 · arXiv · 36 citations
with Victor Chernozhukov, Christian Hansen, Nathan Kallus, Martin Spindler
Paper profile arXiv arXiv:2403.02467
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
working paper2024 · arXiv · 1 citations
with Jikai Jin
Paper profile arXiv arXiv:2402.14264
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
working paper2023 · arXiv
with Daniel Ngo, Keegan Harris, Anish K. Agarwal, Zhiwei Steven Wu
Paper profile arXiv arXiv:2312.16307
Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
working paper2023 · arXiv · 2 citations
with Jikai Jin
Paper profile arXiv arXiv:2311.12267
Causal Q-Aggregation for CATE Model Selection
working paper2023 · arXiv
with Hui Lan
Paper profile arXiv arXiv:2310.16945
Source Condition Double Robust Inference on Functionals of Inverse Problems
working paper2023 · arXiv · 1 citations
with Andrew F. Bennett, Nathan Kallus, Xiaojie Mao, Whitney K. Newey, Masatoshi Uehara
Paper profile arXiv arXiv:2307.13793
Orthogonal statistical learning
published2023 · The Annals of Statistics · 55 citations
with Dylan J. Foster
The Annals of Statistics
Inference on Optimal Dynamic Policies via Softmax Approximation
working paper2023 · arXiv
with Qizhao Chen, Morgane Austern
Paper profile arXiv arXiv:2303.04416
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness
working paper2023 · arXiv
with Andrew F. Bennett, Nathan Kallus, Xiaojie Mao, Whitney K. Newey, Masatoshi Uehara
Paper profile arXiv arXiv:2302.05404
Debiased Machine Learning without Sample-Splitting for Stable Estimators
working paper2022 · arXiv · 4 citations
with Qizhao Chen, Morgane Austern
Paper profile arXiv arXiv:2206.01825
Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals
working paper2022 · arXiv · 2 citations
with Victor Chernozhukov, Whitney K. Newey, Rahul Singh
Paper profile arXiv arXiv:2203.13887
Learning in auctions: Regret is hard, envy is easy
published2022 · Games and Economic Behavior · 37 citations · first circulated 2015
with Constantinos Daskalakis
Games and Economic Behavior
Dynamically Aggregating Diverse Information
published2022 · Econometrica · 14 citations · first circulated 2019
with Annie Liang, Xiaosheng Mu
Econometrica
Robust Generalized Method of Moments: A Finite Sample Viewpoint
working paper2022
with Dhruv Rohatgi
Paper profile publisher arXiv:2110.03070
Bayesian Exploration: Incentivizing Exploration in Bayesian Games
published2021 · Operations Research · 40 citations · first circulated 2016
with Yishay Mansour, Aleksandrs Slivkins, Zhiwei Steven Wu
Operations Research
Long Story Short: Omitted Variable Bias in Causal Machine Learning
working paper2021 · arXiv · 22 citations
with Victor Chernozhukov, Carlos Cinelli, Whitney K. Newey, Amit Sharma, Amit Shamar, Whitney Newey
Paper profile arXiv arXiv:2112.13398
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection
published2021 · Neural Information Processing Systems
with Morgane Austern
no link
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
working paper2021 · arXiv · 5 citations
with Victor Chernozhukov, Whitney K. Newey, Victor Quintas-Martinez
Paper profile arXiv arXiv:2110.03031
Regularised orthogonal machine learning for nonlinear semiparametric models
published2021 · Econometrics Journal · 9 citations · first circulated 2018
with Denis Nekipelov, Vira Semenova, В. М. Семенова
Paper profile Econometrics Journal arXiv:1806.04823
Automatic Debiased Machine Learning via Riesz Regression
working paper2021 · arXiv · 9 citations
with Victor Chernozhukov, Whitney K. Newey, Victor Quintas-Martinez
Paper profile arXiv arXiv:2104.14737
Estimating the Long-Term Effects of Novel Treatments
working paper2021 · arXiv · 2 citations
with Keith Battocchi, Eleanor Wiske Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu
Paper profile arXiv arXiv:2103.08390
Finding Subgroups with Significant Treatment Effects
working paper2021 · arXiv
with Jann Spiess, Victor Yaneng Wang
Paper profile arXiv arXiv:2103.07066
Bayesian Incentive-Compatible Bandit Exploration
published2020 · Operations Research · 102 citations · first circulated 2015
with Yishay Mansour, Aleksandrs Slivkins
Operations Research
Minimax Estimation of Conditional Moment Models
working paper2020 · arXiv · 21 citations
with Nishanth Dikkala, Greg Lewis, Lester Mackey
Paper profile arXiv arXiv:2006.07201
Double/Debiased Machine Learning for Dynamic Treatment Effects via g-Estimation
working paper2020 · arXiv · 8 citations
with Greg Lewis
Paper profile arXiv arXiv:2002.07285
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
published2019 · Neural Information Processing Systems · 13 citations · first circulated 2018
with Jonas Weylin Mueller, Matt Taddy, Jonas Mueller
Neural Information Processing Systems
Statistical Learning with a Nuisance Component
published2019 · Conference on Learning Theory · 4 citations
with Dylan J. Foster
no link
Semi-Parametric Efficient Policy Learning with Continuous Actions
working paper2019 · arXiv · 16 citations
with Mert Demirer, Greg Lewis, Victor Chernozhukov
Paper profile arXiv arXiv:1905.10116
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
working paper2019 · arXiv · 32 citations
with Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
Paper profile arXiv arXiv:1905.10176
Non-Parametric Inference Adaptive to Intrinsic Dimension
working paper2019 · arXiv · 4 citations
with Khashayar Khosravi, Greg Lewis
Paper profile arXiv arXiv:1901.03719
Orthogonal Random Forest for Causal Inference
working paper2018 · arXiv · 31 citations
with Miruna Oprescu, Zhiwei Steven Wu
Paper profile arXiv arXiv:1806.03467
Adversarial Generalized Method of Moments
working paper2018 · arXiv · 17 citations
with Greg Lewis
Paper profile arXiv arXiv:1803.07164
Orthogonal Machine Learning: Power and Limitations
working paper2017 · arXiv · 8 citations
with Lester Mackey, Ilias Zadik
Paper profile arXiv arXiv:1711.00342
Inference on Auctions with Weak Assumptions on Information
working paper2017 · arXiv · 21 citations
with Elie Tamer, Juba Ziani
Paper profile arXiv arXiv:1710.03830
Efficiency Guarantees from Data
published2017 · Neural Information Processing Systems · first circulated 2015
with Darrell Hoy, Denis Nekipelov
Neural Information Processing Systems
Robust Optimization for Non-Convex Objectives
published2017 · Neural Information Processing Systems · 47 citations
with Robert S. Chen, Brendan Lucier, Yaron Singer, Robert F. Chen
Neural Information Processing Systems
Welfare Guarantees from Data
published2017 · Neural Information Processing Systems · 2 citations
with Darrell Hoy, Denis Nekipelov
no link
Bounded rationality in wagering mechanisms
published2016 · Uncertainty in Artificial Intelligence · 2 citations
with David M. Pennock, Jennifer Wortman Vaughan
no link
Fast convergence of regularized learning in games
published2015 · Neural Information Processing Systems · 87 citations
with Alekh Agarwal, Haipeng Luo, Robert E. Schapire
Neural Information Processing Systems
A Unifying Hierarchy of Valuations with Complements and Substitutes
published2015 · Proceedings of the AAAI Conference on Artificial Intelligence · 34 citations
with Uriel Feige, Michal Feldman, Nicole Immorlica, Rani Izsak, Brendan Lucier
Proceedings of the AAAI Conference on Artificial Intelligence

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.