Transfer Learning for Estimating Causal Effects using Neural Networks

Transfer Learning for Estimating Causal Effects using Neural Networks

23 August 2018

Sören R. Künzel

Bradly C. Stadie

V. Ramakrishnan

Pieter Abbeel

Papers citing "Transfer Learning for Estimating Causal Effects using Neural Networks"

5 / 5 papers shown

Title
Overlap in Observational Studies with High-Dimensional Covariates Alexander DÁmour Peng Ding Avi Feller Lihua Lei Jasjeet Sekhon 49 193 0 07 Nov 2017
Some methods for heterogeneous treatment effect estimation in high-dimensions Scott Powers Junyang Qian Kenneth Jung Alejandro Schuler N. Shah Trevor Hastie Robert Tibshirani CML 39 219 0 01 Jul 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 58 2,000 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 228 7,286 0 13 Jun 2016
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 74 4,946 0 06 Oct 2013