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Inference on Strongly Identified Functionals of Weakly Identified
  Functions

Inference on Strongly Identified Functionals of Weakly Identified Functions

17 August 2022
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
ArXivPDFHTML

Papers citing "Inference on Strongly Identified Functionals of Weakly Identified Functions"

14 / 14 papers shown
Title
Detecting clinician implicit biases in diagnoses using proximal causal inference
Detecting clinician implicit biases in diagnoses using proximal causal inference
Kara Liu
Russ Altman
Vasilis Syrgkanis
CML
40
0
0
27 Jan 2025
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference
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
Spectral Representation for Causal Estimation with Hidden Confounders
Tongzheng Ren
Haotian Sun
Antoine Moulin
Arthur Gretton
Bo Dai
CML
24
1
0
15 Jul 2024
Nonparametric Jackknife Instrumental Variable Estimation and Confounding
  Robust Surrogate Indices
Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices
Aurélien F. Bibaut
Nathan Kallus
Apoorva Lal
CML
21
0
0
20 Jun 2024
Targeted Sequential Indirect Experiment Design
Targeted Sequential Indirect Experiment Design
Elisabeth Ailer
Niclas Dern
Jason S. Hartford
Niki Kilbertus
33
1
0
30 May 2024
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space
  Embedding of Categorical Variables
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables
Anirban Mukherjee
Hannah H. Chang
CML
11
0
0
22 Aug 2023
Optimally weighted average derivative effects
Optimally weighted average derivative effects
Oliver Hines
Karla Diaz-Ordaz
S. Vansteelandt
CML
19
2
0
10 Aug 2023
Falsification of Internal and External Validity in Observational Studies
  via Conditional Moment Restrictions
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions
Zeshan Hussain
M. Shih
Michael Oberst
Ilker Demirel
D. Sontag
13
7
0
30 Jan 2023
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation
  and Inference Methods for Heterogeneous Causal Effects of Multivalued
  Treatments Under Limited Overlap
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap
Ganesh Karapakula
9
0
0
13 Jan 2023
Relaxing Instrument Exogeneity with Common Confounders
Relaxing Instrument Exogeneity with Common Confounders
Christian Tien
CML
14
0
0
05 Jan 2023
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
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
10
16
0
26 Jul 2022
Long-term Causal Inference Under Persistent Confounding via Data
  Combination
Long-term Causal Inference Under Persistent Confounding via Data Combination
Guido Imbens
Nathan Kallus
Xiaojie Mao
Yuhao Wang
CML
8
34
0
15 Feb 2022
Nonparametric inference about mean functionals of nonignorable
  nonresponse data without identifying the joint distribution
Nonparametric inference about mean functionals of nonignorable nonresponse data without identifying the joint distribution
Wei Li
Wang Miao
E. T. Tchetgen Tchetgen
8
13
0
12 Oct 2021
Proximal Learning for Individualized Treatment Regimes Under Unmeasured
  Confounding
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
Zhengling Qi
Rui Miao
Xiaoke Zhang
CML
13
28
0
03 May 2021
1