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Learning Representations for Counterfactual Inference
v1v2v3 (latest)

Learning Representations for Counterfactual Inference

12 May 2016
Fredrik D. Johansson
Uri Shalit
David Sontag
    CMLOODBDL
ArXiv (abs)PDFHTML

Papers citing "Learning Representations for Counterfactual Inference"

14 / 414 papers shown
Title
Deep Counterfactual Networks with Propensity-Dropout
Deep Counterfactual Networks with Propensity-Dropout
Ahmed Alaa
M. Weisz
M. Schaar
CMLOODBDL
88
88
0
19 Jun 2017
A Deep Causal Inference Approach to Measuring the Effects of Forming
  Group Loans in Online Non-profit Microfinance Platform
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform
T. T. Pham
Yuanyuan Shen
3DV
78
19
0
08 Jun 2017
Causal Effect Inference with Deep Latent-Variable Models
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
CMLBDL
340
771
0
24 May 2017
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance
  Using Linear Predictive Models
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models
Michael T. Lash
Jason Slater
P. Polgreen
Alberto Maria Segre
23
8
0
06 May 2017
Reliable Decision Support using Counterfactual Models
Reliable Decision Support using Counterfactual Models
Peter F. Schulam
Suchi Saria
CMLOffRLOOD
149
8
0
30 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
477
1,602
0
25 Jan 2017
Constructing Effective Personalized Policies Using Counterfactual
  Inference from Biased Data Sets with Many Features
Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features
Onur Atan
W. Zame
Qiaojun Feng
M. Schaar
OffRLCML
96
13
0
23 Dec 2016
Predicting Counterfactuals from Large Historical Data and Small
  Randomized Trials
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials
Nir Rosenfeld
Yishay Mansour
E. Yom-Tov
CML
124
26
0
24 Oct 2016
A Bayesian Nonparametric Approach for Estimating Individualized
  Treatment-Response Curves
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves
Yanbo Xu
Yanxun Xu
Suchi Saria
CML
180
40
0
18 Aug 2016
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
577
2,520
0
21 Jun 2016
Unsupervised Risk Estimation Using Only Conditional Independence
  Structure
Unsupervised Risk Estimation Using Only Conditional Independence Structure
Jacob Steinhardt
Percy Liang
150
34
0
16 Jun 2016
Estimating individual treatment effect: generalization bounds and
  algorithms
Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit
Fredrik D. Johansson
David Sontag
CMLOOD
235
12
0
13 Jun 2016
Control of Memory, Active Perception, and Action in Minecraft
Control of Memory, Active Perception, and Action in Minecraft
Michael T. Lash
Valliappa Chockalingam
Ashwin Balakrishnan
Honglak Lee
58
0
0
30 May 2016
Unsupervised Domain Adaptation Using Approximate Label Matching
Unsupervised Domain Adaptation Using Approximate Label Matching
Jordan T. Ash
Robert Schapire
Barbara E. Engelhardt
OOD
160
7
0
16 Feb 2016
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