# A Simple Illustration of Interleaved Learning using Kalman Filter for Linear Least Squares

arXiv: https://arxiv.org/abs/2310.03751 · HTML: https://mlsanity.com/paper/2310.03751/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 11 references that are in the map.
- First posted on arXiv 22 Sep 2023.

## Builds on (most cited first, 3 of 3)

- [A Comprehensive Survey of Continual Learning: Theory, Method and Application](https://mlsanity.com/paper/2302.00487/) (2023)
- [FearNet: Brain-Inspired Model for Incremental Learning](https://mlsanity.com/paper/1711.10563/) (2017)
- [Interleaving Learning, with Application to Neural Architecture Search](https://mlsanity.com/paper/2103.07018/) (2021)

## Abstract (arXiv)

Interleaved learning in machine learning algorithms is a biologically inspired training method with promising results. In this short note, we illustrate the interleaving mechanism via a simple statistical and optimization framework based on Kalman Filter for Linear Least Squares.