firstbacksecondback
14 Results
|
Spotlight
|
Wed 17:30 |
Permutation-based Causal Inference Algorithms with Interventions Yuhao Wang · Liam Solus · Karren Yang · Caroline Uhler |
|
|
Workshop
|
Fri 16:05 |
Causal inference with machine learning |
|
|
Workshop
|
Sat 14:40 |
Variational Bayes inference algorithm for causal multivariate mediation with linkage disequilibrium (Yongjin Park) |
|
|
Poster
|
Wed 18:30 |
Permutation-based Causal Inference Algorithms with Interventions Yuhao Wang · Liam Solus · Karren Yang · Caroline Uhler |
|
|
Poster
|
Wed 18:30 |
Counterfactual Fairness Matt Kusner · Joshua Loftus · Chris Russell · Ricardo Silva |
|
|
Poster
|
Wed 18:30 |
Reliable Decision Support using Counterfactual Models Peter Schulam · Suchi Saria |
|
|
Poster
|
Mon 18:30 |
Model-Powered Conditional Independence Test Rajat Sen · Ananda Theertha Suresh · Karthikeyan Shanmugam · Alex Dimakis · Sanjay Shakkottai |
|
|
Poster
|
Mon 18:30 |
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness Chris Russell · Matt Kusner · Joshua Loftus · Ricardo Silva |
|
|
Poster
|
Wed 18:30 |
Experimental Design for Learning Causal Graphs with Latent Variables Murat Kocaoglu · Karthikeyan Shanmugam · Elias Bareinboim |
|
|
Workshop
|
Fri 8:30 |
From 'What If?' To 'What Next?' : Causal Inference and Machine Learning for Intelligent Decision Making Ricardo Silva · Panagiotis Toulis · John Shawe-Taylor · Alexander Volfovsky · Thorsten Joachims · Lihong Li · Nathan Kallus · Adith Swaminathan |
|
|
Poster
|
Wed 18:30 |
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos · Uri Shalit · Joris Mooij · David Sontag · Richard Zemel · Max Welling |
|
|
Poster
|
Wed 18:30 |
Learning Causal Structures Using Regression Invariance AmirEmad Ghassami · Saber Salehkaleybar · Negar Kiyavash · Kun Zhang |