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2020 – today
- 2023
[c3]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Inference on Strongly Identified Functionals of Weakly Identified Functions. COLT 2023: 2265- [c2]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness. COLT 2023: 2291-2318 - [i7]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness. CoRR abs/2302.05404 (2023) - [i6]Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara:
Source Condition Double Robust Inference on Functionals of Inverse Problems. CoRR abs/2307.13793 (2023) - 2022
- [c1]Victor Chernozhukov, Whitney Newey, Victor Quintas-Martinez, Vasilis Syrgkanis:
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests. ICML 2022: 3901-3914 - 2021
- [i5]Victor Chernozhukov, Whitney Newey, Rahul Singh, Vasilis Syrgkanis:
Adversarial Estimation of Riesz Representers. CoRR abs/2101.00009 (2021) - [i4]Victor Chernozhukov, Whitney K. Newey, Rahul Singh:
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees. CoRR abs/2105.15197 (2021) - [i3]Victor Chernozhukov, Whitney K. Newey, Victor Quintas-Martinez, Vasilis Syrgkanis:
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests. CoRR abs/2110.03031 (2021) - [i2]Victor Chernozhukov, Carlos Cinelli, Whitney Newey, Amit Sharma, Vasilis Syrgkanis:
Omitted Variable Bias in Machine Learned Causal Models. CoRR abs/2112.13398 (2021)
2010 – 2019
- 2019
- [i1]Victor Chernozhukov, Whitney Newey, Vira Semenova:
Inference on weighted average value function in high-dimensional state space. CoRR abs/1908.09173 (2019)
Coauthor Index
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