Media Summary: Prediction algorithms in AI use machine learning and statistics to make predictions about an event, given what we know now. Across nearly every country in the world, women live longer than men—but the size of this gap varies from about two years in ... Video presentation for the Society of Philosophy and Psychology (SPP) conference. You can find more information about the work ...

Counterfactual Questions And Data Driven - Detailed Analysis & Overview

Prediction algorithms in AI use machine learning and statistics to make predictions about an event, given what we know now. Across nearly every country in the world, women live longer than men—but the size of this gap varies from about two years in ... Video presentation for the Society of Philosophy and Psychology (SPP) conference. You can find more information about the work ... A poster presentation for the 43rd Annual Meeting of the Cognitive Science Society by Sarah Wu ( In this short video, I introduce the idea of Recent advances in machine learning have showed great promise in predicting consumer behavior. Yet, many firms need to ...

Pernille Matthews, Lena Krieger, Tommaso Amico, Arthur Zimek, Thomas Seidl, Ira Assent. Xiaolei Wang, Renmin University of China. EpiCH Seminar Series – Causal Inference for Complex Exploring causal relationships by asking What If? #

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Counterfactual questions and data-driven answers
TMCF workshop  - Theory and methods challenges in counterfactual prediction, Karla Diaz-Ordaz
Counterfactuals: Causal Inference Bootcamp
FastCFE- A counterfactual explainer using reinforcement learning
Counterfactual Analysis with Bayesian Models by Allen Downey, PhD
What explains causal judgments? Counterfactual versus hypothetical simulations
The role of counterfactual reasoning in responsibility judgments
Factual vs Counterfactual in the AI Age
Large-scale Models of Consumer Choice and Counterfactual Inference
KDD 2026 - ExDBSCAN: Explaining DBSCAN with Counterfactual Reasoning
KDD 2023 - Improving Conversational Recommendation Systems via Counterfactual Data Simulation
Causal Inference for Complex Data: Asking Questions That Matter, Getting Answers That Help
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Counterfactual questions and data-driven answers

Counterfactual questions and data-driven answers

Episode C10VL1: WHAT-IF

TMCF workshop  - Theory and methods challenges in counterfactual prediction, Karla Diaz-Ordaz

TMCF workshop - Theory and methods challenges in counterfactual prediction, Karla Diaz-Ordaz

Prediction algorithms in AI use machine learning and statistics to make predictions about an event, given what we know now.

Counterfactuals: Causal Inference Bootcamp

Counterfactuals: Causal Inference Bootcamp

This module discusses the importance of

FastCFE- A counterfactual explainer using reinforcement learning

FastCFE- A counterfactual explainer using reinforcement learning

FastCFE- A

Counterfactual Analysis with Bayesian Models by Allen Downey, PhD

Counterfactual Analysis with Bayesian Models by Allen Downey, PhD

Across nearly every country in the world, women live longer than men—but the size of this gap varies from about two years in ...

What explains causal judgments? Counterfactual versus hypothetical simulations

What explains causal judgments? Counterfactual versus hypothetical simulations

Video presentation for the Society of Philosophy and Psychology (SPP) conference. You can find more information about the work ...

The role of counterfactual reasoning in responsibility judgments

The role of counterfactual reasoning in responsibility judgments

A poster presentation for the 43rd Annual Meeting of the Cognitive Science Society by Sarah Wu (https://sarahawu.github.io/).

Factual vs Counterfactual in the AI Age

Factual vs Counterfactual in the AI Age

In this short video, I introduce the idea of

Large-scale Models of Consumer Choice and Counterfactual Inference

Large-scale Models of Consumer Choice and Counterfactual Inference

Recent advances in machine learning have showed great promise in predicting consumer behavior. Yet, many firms need to ...

KDD 2026 - ExDBSCAN: Explaining DBSCAN with Counterfactual Reasoning

KDD 2026 - ExDBSCAN: Explaining DBSCAN with Counterfactual Reasoning

Pernille Matthews, Lena Krieger, Tommaso Amico, Arthur Zimek, Thomas Seidl, Ira Assent.

KDD 2023 - Improving Conversational Recommendation Systems via Counterfactual Data Simulation

KDD 2023 - Improving Conversational Recommendation Systems via Counterfactual Data Simulation

Xiaolei Wang, Renmin University of China.

Causal Inference for Complex Data: Asking Questions That Matter, Getting Answers That Help

Causal Inference for Complex Data: Asking Questions That Matter, Getting Answers That Help

EpiCH Seminar Series – Causal Inference for Complex

What Is Counterfactual Analysis?

What Is Counterfactual Analysis?

Exploring causal relationships by asking What If? #