Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach

2 July 2020

Papers citing "Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach"

7 / 7 papers shown

Title
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
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 33 14 0 10 Feb 2023
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 35 15 0 17 Aug 2022
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting Masahiro Kato Masaaki Imaizumi K. McAlinn Haruo Kakehi Shota Yasui CML 41 5 0 03 Aug 2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation Yutian Chen Liyuan Xu Çağlar Gülçehre T. Paine Arthur Gretton Nando de Freitas Arnaud Doucet OffRL 42 18 0 21 May 2021
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning Luofeng Liao Zuyue Fu Zhuoran Yang Yixin Wang Mladen Kolar Zhaoran Wang OffRL 18 34 0 19 Feb 2021