Browsing: Linear

The Transformer’s attention mechanism has barely changed since 2017. Most efficiency work has tried to replace softmax attention outright. A new paper takes a different route.…

Linear attention replaces the unbounded KV cache of softmax attention with a fixed-size recurrent state. This cuts sequence mixing to linear time and decoding to constant…

The race to make large language models faster and cheaper to run has largely been fought at two levels: the model architecture and the hardware. But…

people! If you have ever wanted to understand how linear regression works or just refresh the main ideas without jumping between lots of different sources –…

think that linear regression is about fitting a line to data. But mathematically, that’s not what it’s doing. It is finding the closest possible vector to…

problem, the goal is to find the best (maximum or minimum) value of an objective function by selecting real variables that satisfy a set of equality…

learns machine learning usually starts with linear regression, not just because it’s simple, but because it introduces us to the key concepts that we use in…

, we ensemble learning with voting, bagging and Random Forest. Voting itself is only an aggregation mechanism. It does not create diversity, but combines predictions from…

, and it’s officially leaf-raking season. As I engaged in this tedious task, I realized it is basically one big optimization problem. When raking my leaves,…

, I will present a solution to the Subset Sum Problem, which has linear time complexity O(n), if all the ‘n’ input values are “close enough”…