van der Schaar Lab

van der Schaar Lab at AISTATS 2021: 4 papers accepted

Note: this post originally appeared on February 2, but was updated and republished on April 12 with details regarding AISTATS 2021 poster sessions.

The van der Schaar lab’s researchers have had a total of 4 papers accepted to AISTATS 2021 (April 13 – 15, 2021), one of the most prominent annual gatherings of researchers at the intersection of artificial intelligence, machine learning, statistics, and related areas.

All four papers represent research areas the van der Schaar Lab believes to be particularly promising: particularly well-represented categories are individualized treatment effect inference, adaptive clinical trials, and genomics.

Titles, authors and abstracts for all 4 selected papers are given below.

Nonparametric Estimation of Heterogeneous Treatment Effects:
From Theory to Learning Algorithms

Alicia Curth, Mihaela van der Schaar


Learning Matching Representations for Individualized Organ Transplantation Allocation

Can Xu, Ahmed Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar


SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups

Hyun-Suk Lee, Cong Shen, William Zame, Jang-Won Lee, Mihaela van der Schaar


A Variational Information Bottleneck Approach to Multi-Omics Data Integration

Changhee Lee, Mihaela van der Schaar



The full AISTATS 2021 schedule can be found here.

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

Nick Maxfield

From 2020 to 2022, Nick oversaw the van der Schaar Lab’s communications, including media relations, content creation, and maintenance of the lab’s online presence.