Self-Supervised Reinforcement Learning: Some Surprises and Open Problems Read more about Self-Supervised Reinforcement Learning: Some Surprises and Open Problems
With enough data and the right algorithms is your future predictable? Some evidence from LLMs and complete population-scale data Read more about With enough data and the right algorithms is your future predictable? Some evidence from LLMs and complete population-scale data
Replication for Language Models Problems, Principles, and Best Practice for Political Science Read more about Replication for Language Models Problems, Principles, and Best Practice for Political Science
What does Generative AI Mean for the Hardware that has to Ultimately Run It? Read more about What does Generative AI Mean for the Hardware that has to Ultimately Run It?
Beyond Transformers: Neural Architectures Inspired by Dynamical Systems Read more about Beyond Transformers: Neural Architectures Inspired by Dynamical Systems
What is Machine Learning, and Can It Aid My Research Read more about What is Machine Learning, and Can It Aid My Research
Machine Learning and the Future of Philology Read more about Machine Learning and the Future of Philology
Robustness for Models and Algorithms in Machine Learning Read more about Robustness for Models and Algorithms in Machine Learning
Robust and Risk-Averse Accelerated Gradient Methods Read more about Robust and Risk-Averse Accelerated Gradient Methods
