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Characterization of Overlap in Observational Studies
v1v2v3 (latest)

Characterization of Overlap in Observational Studies

9 July 2019
Michael Oberst
Fredrik D. Johansson
Dennis L. Wei
Tian Gao
G. Brat
David Sontag
Kush R. Varshney
    CML
ArXiv (abs)PDFHTML

Papers citing "Characterization of Overlap in Observational Studies"

12 / 12 papers shown
Title
Generalized Linear Rule Models
Generalized Linear Rule Models
Dennis L. Wei
S. Dash
Tian Gao
Oktay Gunluk
63
64
0
05 Jun 2019
Support and Invertibility in Domain-Invariant Representations
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson
David Sontag
Rajesh Ranganath
79
164
0
08 Mar 2019
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRLBDL
251
1,625
0
07 Dec 2018
Boolean Decision Rules via Column Generation
Boolean Decision Rules via Column Generation
S. Dash
Oktay Gunluk
Dennis L. Wei
67
175
0
24 May 2018
Policy Evaluation and Optimization with Continuous Treatments
Policy Evaluation and Optimization with Continuous Treatments
Nathan Kallus
Angela Zhou
OffRL
144
137
0
16 Feb 2018
Overlap in Observational Studies with High-Dimensional Covariates
Overlap in Observational Studies with High-Dimensional Covariates
Alexander DÁmour
Peng Ding
Avi Feller
Lihua Lei
Jasjeet Sekhon
159
194
0
07 Nov 2017
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
115
195
0
06 Apr 2017
Policy Learning with Observational Data
Policy Learning with Observational Data
Susan Athey
Stefan Wager
CMLOffRL
447
183
0
09 Feb 2017
Generalized Optimal Matching Methods for Causal Inference
Generalized Optimal Matching Methods for Causal Inference
Nathan Kallus
175
108
0
26 Dec 2016
Scalable Bayesian Rule Lists
Scalable Bayesian Rule Lists
Hongyu Yang
Cynthia Rudin
Margo Seltzer
TPM
49
211
0
27 Feb 2016
Sparse Density Trees and Lists: An Interpretable Alternative to
  High-Dimensional Histograms
Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional Histograms
Siong Thye Goh
Lesia Semenova
Cynthia Rudin
TPM
34
1
0
22 Oct 2015
Falling Rule Lists
Falling Rule Lists
Fulton Wang
Cynthia Rudin
68
258
0
21 Nov 2014
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