van der Schaar Lab

van der Schaar Lab at ICLR 2022: 5 papers accepted

Note: this post originally appeared on 28 January, but was updated and republished on 22 April with details regarding poster sessions.

The van der Schaar Lab will be represented at the Tenth International Conference on Learning Representations (ICLR 2022) with 5 papers accepted for publication. Of these papers, 3 have been chosen by the organisers to be Spotlight Presentations. Out of the big three major machine learning and AI conferences, ICLR is regarded as the one with the highest impact.

ICLR, running from 25 – 29 April, is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science.

Collectively, these papers touch on some of the most important areas within the lab’s extensive research agenda, including quantitative epistemology, discovery using machine learning, and self- and semi-supervised learning.

Details regarding the 5 papers can be found below.

[Spotlight] D-CODE: Discovering Closed-form ODEs from Observed Trajectories

Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar

Abstract

[Spotlight] Self-Supervision Enhanced Feature Selection with Correlated Gases

Changhee Lee*, Fergus Imrie*, Mihaela van der Schaar

Abstract

Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies

Alex Chan, Alicia Curth, Mihaela van der Schaar

Abstract

[Spotlight] POETREE: Interpretable Policy Learning with Adaptive Decision Trees

Alizée Pace, Alex Chan, Mihaela van der Schaar

Abstract

Neural graphical modelling in continuous-time: consistency guarantees and algorithms

Alexis Bellot, Kim Branson, Mihaela van der Schaar

Abstract

About ICLR

For a full list of the van der Schaar Lab’s publications, click here.

Andreas Bedorf