https://www.quantamagazine.org/machines-learn-better-if-we-teach-them-the-basics-20230201/ Machines Learn Better if We Teach Them the BasicsMax G. LevyFebruary 1, 2023 “A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.”
What I Read: Causal Inference
https://thegradient.pub/causal-inference-connecting-data-and-reality/ Causal Inference: Connecting Data and RealityWenwen Ding04.Sep.2022 “Causal inference is a theory that describes, discriminates, and measures causal relationships, developed from statistics.”
What I Read: AI Researcher, Bitter Medicine
https://www.quantamagazine.org/the-ai-researcher-giving-her-field-its-bitter-medicine-20220830/ The AI Researcher Giving Her Field Its Bitter MedicineMax G. LevyAugust 30, 2022 “In practice, matrix methods in machine learning can’t effectively capture higher-order relationships. Essentially, you can’t learn
What I Read: Generalization of SGD
https://www.quantamagazine.org/machine-learning-reimagines-the-building-blocks-of-computing-20220315/ Machine Learning Reimagines the Building Blocks of ComputingNick ThiemeContributing WriterMarch 15, 2022 “Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses
What I Read: Why Bigger Neural Networks Do Better
https://www.quantamagazine.org/computer-scientists-prove-why-bigger-neural-networks-do-better-20220210/ Computer Scientists Prove Why Bigger Neural Networks Do BetterMordechai RorvigStaff WriterFebruary 10, 2022 “Two researchers show that for neural networks to be able to remember better, they need far