Targeted Learning: From Machine Learning to Inference

Minimizing confounding is a key challenge to ensuring the fidelity of observational assessments of the real-world safety and effectiveness of medical product

Targeted Learning in Data Science: by van der Laan, Mark J.

Visual Search Target Inference in Natural Interaction Settings with Machine Learning

GitHub - tlverse/enar2021-workshop: Workshop materials for Targeted Learning in the tlverse: Causal Inference Meets Machine Learning at the 2021 Spring Meeting of the Eastern North American Region (ENAR) of the International Biometric

Reinforcement learning models are prone to membership inference attacks - TechTalks

Harnessing deep learning for population genetic inference

PDF] Over-the-air membership inference attacks as privacy threats for deep learning-based wireless signal classifiers

PDF] Membership Inference Attacks Against Machine Learning Models

Targeted Learning: From Machine Learning to Inference, Mark van der Laan, PhD

Model Inference in Machine Learning

Deep Q-Learning An Introduction To Deep Reinforcement Learning

Machine Learning Goes Mainstream - NXP's eIQ ML Software Development Environment Just Got Smarter and Friendlier - Edge AI and Vision Alliance

What is inference in machine learning? - Quora