Understanding Bias in Linear Least Squares Regression with Simple Test Data

A Uniformly Valid Test for Instrument Exogeneity

Robustness is a desirable property of policy as it renders the policy recommendations invariant to the precise nature of shocks and analytic

Regression: A New Framework for Uncertainty Quantification

A new framework for representing uncertainty in machine learning regression settings offers fresh insights and practical guidelines, challen

How are linear representations learned? Exact solutions to the dynamics of abstraction

arXiv:2607.08843v1 Announce Type: new Abstract: In artificial and biological neural networks, concepts are often encoded as consistent linea

Followed up on my causal inference post with actual regression. Turns out 11% explained variance can still tell you something useful.

Study Shows Biased Feeds Can Steer AI Decisions, Especially in Smaller Models

A study showing how biased feeds can steer AI agents’ decisions, especially smaller models, and how balanced context can reduce the risk.

Q-Learning: A New Linear Approach

A fresh framework for linear Q-learning emerges, linking error analysis to switching linear systems. This approach promises less conservativ