Humans make tens of thousands of decisions every day. Project Causica aims to develop machine learning solutions for efficient decision making that demonstrate human expert-level performance across all domains. We develop advanced machine learning solutions in causal discovery, causal inference,…
Many modern AI algorithms are known to be data-hungry, whereas human decision-making is much more efficient. The human can reason under uncertainty, actively acquire valuable information from the world to reduce uncertainty, and make personalized decisions given incomplete information. How…
ShowWhy is an interactive application that guides users through the process of answering a causal question using observational data. In use, it has the potential to empower domain experts (who may not be data scientists) to develop a higher standard…
