van der Schaar Lab

Inspiration Exchange: quantitative epistemology

The van der Schaar Lab’s tenth Inspiration Exchange engagement session took place virtually on July 12, 2021, and was attended by students and professionals from the AI and machine learning community.

This session offered an introduction to quantitative epistemology—the van der Schaar Lab’s transformational new research area that aims to use AI and machine learning to understand and empower human learning and decision-making.

The former half of the session featured a high-level introduction to quantitative epistemology by Mihaela van der Schaar, followed by more in-depth explanations of specific frameworks and approaches by Ph.D. student Alihan Hüyük. The latter half of the session focused on a participative discussion in which Mihaela and Alihan answered questions from audience members about quantitative epistemology.

Introduction – 0:00
Resources: overview on quantitative epistemology – 2:33
Mihaela’s introduction to quantitative epistemology – 3:58
Presentation 1 by Alihan Hüyük [Interpretable policy learning] – 25:29
Presentation 2 by Alihan Hüyük [Inverse decision modeling] – 33:38
Presentation 3 by Alihan Hüyük [Inverse bounded rational control] – 39:39
Participative discussion – 50:58
Intro to next sessions – 1:17:51

For more info related to quantitative epistemology, please view our overview here.

A full list of the lab’s publications can be found here.

Nick Maxfield

Nick oversees the van der Schaar Lab’s communications, including media relations, content creation, and maintenance of the lab’s online presence.

Nick studied Japanese (BA Hons.) at the University of Oxford, graduating in 2012. Nick previously worked in HQ communications roles at Toyota (2013-2016) and Nissan (2016-2020).

Given his humanities/languages background and experience in communications, Nick is well-positioned to highlight and explain the real-world impact of research that can often be quite esoteric. Thankfully, he is comfortable asking almost endless questions in order to understand a topic.