Whitney Newey

According to our database, Whitney Newey authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Source Condition Double Robust Inference on Functionals of Inverse Problems.

Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

CoRR, 2023

Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness.

Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

CoRR, 2023

Minimax Instrumental Variable Regression and L₂ Convergence Guarantees without Identification or Closedness.

Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Inference on Strongly Identified Functionals of Weakly Identified Functions.

Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests.

Victor Chernozhukov, Whitney Newey, Victor Quintas-Martinez, Vasilis Syrgkanis

Proceedings of the International Conference on Machine Learning, 2022

2021

Omitted Variable Bias in Machine Learned Causal Models.

Victor Chernozhukov, Carlos Cinelli, Whitney Newey, Amit Sharma, Vasilis Syrgkanis

CoRR, 2021

A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees.

Victor Chernozhukov, Whitney K. Newey, Rahul Singh

CoRR, 2021

Adversarial Estimation of Riesz Representers.

Victor Chernozhukov, Whitney Newey, Rahul Singh, Vasilis Syrgkanis

CoRR, 2021

2019

Inference on weighted average value function in high-dimensional state space.

Victor Chernozhukov, Whitney Newey, Vira Semenova

CoRR, 2019