Statistical Learning
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker University of California, Berkeley Lu Mi
The traditional approach to data-driven modeling of a neural population typically involves two separate stages. First, neural population activity is recorded while an animal performs a task of interest.
MinibatchStochasticApproximateProximalPoint Methods
We corroborate our theoretical results with extensive empirical testing, which demonstrates the gains provided by accurate modelingandminibatching.
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
Chain-of-thought (CoT) is a method that enables language models to handle complex reasoning tasks by decomposing them into simpler steps.
A Additional Background
B, which is part of the linear least squares right-hand-side we can solve for.
