Causal inference with Machine Learning-Based Covariate Representation

3 November 2023

Papers citing "Causal inference with Machine Learning-Based Covariate Representation"

9 / 9 papers shown

Title
Machine Learning for Variance Reduction in Online Experiments Yongyi Guo Dominic Coey Mikael Konutgan Wenting Li Ch. P. Schoener Matt Goldman 40 35 0 14 Jun 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 303 647 0 19 Sep 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning Priya Goyal D. Mahajan Abhinav Gupta Ishan Misra SSL 75 397 0 03 May 2019
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus CML OOD 71 77 0 15 Feb 2018
Size-Independent Sample Complexity of Neural Networks Noah Golowich Alexander Rakhlin Ohad Shamir 154 551 0 18 Dec 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 207 2,406 0 10 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 827 11,943 0 09 Mar 2017
Rerandomization to improve covariate balance in experiments Kari Lock Morgan D. Rubin CML 70 337 0 24 Jul 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 274 12,458 0 24 Jun 2012