Causal Inference

All Work

A more effective experimental design for engineering a cell into a new state
A more effective experimental design for engineering a cell into a new state
MIT News
↗
Doctors are drowning in paperwork. Some companies claim AI can help
Doctors are drowning in paperwork. Some companies claim AI can help
WBUR
↗
Does this artificial intelligence think like a human?
Does this artificial intelligence think like a human?
MIT News
↗
Building machines that better understand human goals
Building machines that better understand human goals
MIT News
↗
Entropic Causal Inference: Identifiability and Finite Sample Results
Entropic Causal Inference: Identifiability and Finite Sample Results
 
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
 
Applications of Common Entropy in Causal Inference
Applications of Common Entropy in Causal Inference
 
What’s Next in AI // Virtual Conference
What’s Next in AI // Virtual Conference
MIT-IBM Watson AI Lab
↗
IBM, Refinitiv Partner on Machine Learning Project to Better Understand Market Correlations
IBM, Refinitiv Partner on Machine Learning Project to Better Understand Market Correlations
WatersTechnology
↗
How the Coronavirus Pandemic Is Breaking Artificial Intelligence and How to Fix It
How the Coronavirus Pandemic Is Breaking Artificial Intelligence and How to Fix It
Gizmodo
↗
Neurosymbolic AI to Give Us Machines With True Common Sense
Neurosymbolic AI to Give Us Machines With True Common Sense
Medium
↗
MIT researchers release Clevrer to advance visual reasoning and neurosymbolic AI
MIT researchers release Clevrer to advance visual reasoning and neurosymbolic AI
VentureBeat
↗
Causal inference is expensive. Here’s an algorithm for fixing that.
Causal inference is expensive. Here’s an algorithm for fixing that.
 
Reverse-engineering causal graphs with soft interventions
Reverse-engineering causal graphs with soft interventions
 
Experimental Design for Cost-Aware Learning of Causal Graphs
Experimental Design for Cost-Aware Learning of Causal Graphs
 
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions