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Counterfactual Predictions under Runtime Confounding

Counterfactual Predictions under Runtime Confounding

30 June 2020
Amanda Coston
Edward H. Kennedy
Alexandra Chouldechova
    OOD
    OffRL
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Papers citing "Counterfactual Predictions under Runtime Confounding"

12 / 12 papers shown
Title
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen
Konstantin Hess
Stefan Feuerriegel
112
7
0
07 Jul 2024
Fairness Through Causal Awareness: Learning Latent-Variable Models for
  Biased Data
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
56
133
0
07 Sep 2018
Counterfactual Normalization: Proactively Addressing Dataset Shift and
  Improving Reliability Using Causal Mechanisms
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms
Adarsh Subbaswamy
Suchi Saria
OOD
42
25
0
09 Aug 2018
Confounding-Robust Policy Improvement
Confounding-Robust Policy Improvement
Nathan Kallus
Angela Zhou
CML
OffRL
329
152
0
22 May 2018
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model
  Distillation
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
S. Tan
R. Caruana
Giles Hooker
Yin Lou
MLAU
101
185
0
17 Oct 2017
Domain Adaptation by Using Causal Inference to Predict Invariant
  Conditional Distributions
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane
T. V. Ommen
Tom Claassen
Stephan Bongers
Philip Versteeg
Joris M. Mooij
OOD
CML
103
236
0
20 Jul 2017
Policy Learning with Observational Data
Policy Learning with Observational Data
Susan Athey
Stefan Wager
CML
OffRL
447
183
0
09 Feb 2017
Semiparametric theory and empirical processes in causal inference
Semiparametric theory and empirical processes in causal inference
Edward H. Kennedy
CML
55
179
0
15 Oct 2015
Estimation and Inference of Heterogeneous Treatment Effects using Random
  Forests
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager
Susan Athey
SyDa
CML
352
2,483
0
14 Oct 2015
Interpretable Classification Models for Recidivism Prediction
Interpretable Classification Models for Recidivism Prediction
J. Zeng
Berk Ustun
Cynthia Rudin
FaML
71
247
0
26 Mar 2015
Assumptionless consistency of the Lasso
Assumptionless consistency of the Lasso
S. Chatterjee
62
52
0
23 Mar 2013
Higher order influence functions and minimax estimation of nonlinear
  functionals
Higher order influence functions and minimax estimation of nonlinear functionals
J. M. Robins
Lingling Li
E. T. Tchetgen
A. van der Vaart
304
241
0
20 May 2008
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