AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Amortized Inference for Causal Structure Learning: Using Simulators for Causal Discovery
A paper by Lars Lurgs and Bernard Shokoff called amortized inference for causal structure learning. They were using simulators to simulate the simulate data. These are ways that people encode knowledge often from physical domains about causal mechanism. And so using that to create the inductive bias for a causal discovery or any other algorithm.