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

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

10 February 2023

Vasilis Syrgkanis

Masatoshi Uehara

Papers citing "Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness"

12 / 12 papers shown

Title
Detecting clinician implicit biases in diagnoses using proximal causal inference Kara Liu Russ Altman Vasilis Syrgkanis CML 48 0 0 27 Jan 2025
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference Lars van der Laan David Hubbard Allen Tran Nathan Kallus Aurélien F. Bibaut OffRL 39 0 0 12 Jan 2025
Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 32 1 0 15 Jul 2024
Targeted Sequential Indirect Experiment Design Elisabeth Ailer Niclas Dern Jason S. Hartford Niki Kilbertus 46 1 0 30 May 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data Xuxing Chen Abhishek Roy Yifan Hu Krishnakumar Balasubramanian 43 1 0 29 May 2024
Regularized DeepIV with Model Selection Zihao Li Hui Lan Vasilis Syrgkanis Mengdi Wang Masatoshi Uehara 36 2 0 07 Mar 2024
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients Yuri S. Fonseca Caio Peixoto Yuri F. Saporito 40 2 0 08 Feb 2024
Source Condition Double Robust Inference on Functionals of Inverse Problems Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 26 5 0 25 Jul 2023
Partial Identification of Causal Effects Using Proxy Variables AmirEmad Ghassami I. Shpitser E. T. Tchetgen CML 15 8 0 10 Apr 2023
A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations Siyu Chen Yitan Wang Zhaoran Wang Zhuoran Yang OffRL 33 2 0 20 Mar 2023
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions Audrey Huang Nan Jiang OffRL 51 9 0 27 Oct 2022
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs Masatoshi Uehara Haruka Kiyohara Andrew Bennett Victor Chernozhukov Nan Jiang Nathan Kallus C. Shi Wen Sun OffRL 29 16 0 26 Jul 2022