Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models

Silvan Melchior
Silvan Melchior
Andreas Krause
Andreas Krause

Learning for Dynamics and Control, pp. 147-157, 2020.

Cited by: 2|Views5

Abstract:

We propose a new variational inference algorithm for learning in Gaussian Process State-Space Models (GPSSMs). Our algorithm enables learning of unstable and partially observable systems, where previous algorithms fail. Our main algorithmic contribution is a novel approximate posterior that can be calculated efficiently using a single for...More

Code:

Data:

Get fulltext within 24h
Bibtex
Upload PDF

1.Your uploaded documents will be check within 24h, and coins will be credited to your account.

2.As the current system does not support cash withdrawal, you can add staff WeChat (AMxiaomai) to receive it as a red packet.

3.10 coins will be exchanged for 1 yuan.

?

Upload a single paper

for 5 coins

Wechat's Red Packet
?

Upload 50 articles

for 250 coins

Wechat's Red Packet
?

Upload 200 articles

for 1000 coins

Wechat's Red Packet
?

Upload 500 articles

for 2500 coins

Wechat's Red Packet
?

Upload 1000 articles

for 5000 coins

Wechat's Red Packet
Your rating :
0

 

Tags
Comments