Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms

9 August 2018

Papers citing "Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms"

11 / 11 papers shown

Title
A Dual Approach to Scalable Verification of Deep Networks Krishnamurthy Dvijotham Dvijotham Robert Stanforth Sven Gowal Timothy A. Mann Pushmeet Kohli 41 395 0 17 Mar 2018
Certified Defenses against Adversarial Examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 88 967 0 29 Jan 2018
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms Ahmed Alaa Mihaela van der Schaar CML 43 43 0 24 Dec 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 81 858 0 29 Oct 2017
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection Joseph D. Futoma S. Hariharan M. Sendak Nathan Brajer M. Clement A. Bedoya Cara O'Brien Katherine A. Heller 43 127 0 19 Aug 2017
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction Hossein Soleimani J. Hensman Suchi Saria 36 60 0 16 Aug 2017
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier Joseph D. Futoma S. Hariharan Katherine A. Heller 40 172 0 13 Jun 2017
Learning (Predictive) Risk Scores in the Presence of Censoring due to Interventions K. Dyagilev Suchi Saria 33 39 0 27 Jul 2015
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback Adith Swaminathan Thorsten Joachims OffRL 61 167 0 09 Feb 2015
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 154 440 0 20 Feb 2013
What Counterfactuals Can Be Tested I. Shpitser Judea Pearl 97 113 0 20 Jun 2012