Explore >> Select a destination
|
You are here 
|
jeremykun.com | ||
| | | | |
grigory.github.io
|
|
| | | | | Collection of interesting papers on algorithms for big data from 2016. | |
| | | | |
theorydish.blog
|
|
| | | | | In this blog post, we will talk about some recent advances in algorithms for approximately solving Shapley Games. What is a Shapley Game? At an intuitive level, Shapley games capture the idea of extending one-shot 2-player games to be occurring over multiple stages. Explicitly, Shapley games are played on an underlying state space $latex V$.... | |
| | | | |
www.jeremykun.com
|
|
| | | | | When addressing the question of what it means for an algorithm to learn, one can imagine many different models, and there are quite a few. This invariably raises the question of which models are "the same" and which are "different," along with a precise description of how we're comparing models. We've seen one learning model so far, called Probably Approximately Correct (PAC), which espouses the following answer to the learning question: | |
| | | | |
www.v7labs.com
|
|
| | | Learn about the different types of neural network architectures. | ||
