Quants see promise in Bayesian machine learning
Risk USA: probability theory may hold key to creating ‘self-aware’ AI
A 250-year-old mathematical theory could be used to create ‘self-aware’ machine learning systems that understand when they are out of their depth, according to a panel of senior quants.
Bayes’ theorem, named after the 18th century UK mathematician Thomas Bayes, is widely used to infer the probability of a hypothesis holding true as more information becomes available.
“The Bayesian paradigm allows you to actually get a hint that maybe the data the model has been trained on is not relevant
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Risk management
Don’t count on repo to monetise liquidity books, say experts
QT could force banks to sell bonds during stress, underlining need for fair value accounting
US Basel endgame hits clearing with op risk capital charges
Dealers also fret about unlevel playing field compared with requirements in the EU
Calibrating interest rate curves for a new era
Dmitry Pugachevsky, director of research at Quantifi, explores why building an accurate and robust interest rate curve has considerable implications for a broad range of financial operations – from setting benchmark rates to managing risk – and hinges on…
Bankers – shape up or ship out, says UBS compliance head
Tough approach comes as ECB prepares new guidance on conduct risk for 2024 release
Op risk data: WhatsApp fines keep on coming
Also: ‘Five families’ stock-lending cartel pays up; double hit for Wells Fargo. Data by ORX News
The impact of emerging risk on credit portfolio management
Bank credit portfolio managers are increasingly finding that non-financial risks, such as cyber risk and climate risk, are falling under the remit of credit portfolio management (CPM). This will also be impacted by the upcoming Basel III Final Reforms,…
Bankers call for overhaul of EBA stress tests
Support for multiple scenarios, but only if fixed assumptions and variables are scaled back
Do all roads lead to multi-scenario Fed stress tests?
This year’s CCAR faced criticism for underweighting the risk of higher-for-longer inflation
