Bayesian Optimization for Heteroscedastic time series

Bayesian Optimization with Surrogate Models

By Nadhir Hassen in Bayesian optimization Hyperparameter optimization

May 31, 2021

Date

May 31, 2021

Time

9:30 AM

Event

Description

Explore how to handle non-linear transformations in a heteroscedastic time series settings, this will avoid Multi-objectivity conflicts and enables a consensus among various acquisition functions through a Pareto-frontier.

Posted on:
May 31, 2021
Length:
1 minute read, 33 words
Categories:
Bayesian optimization Hyperparameter optimization
Tags:
IBM HPO
See Also: