User profiles for Mihaela van der Schaar

Mihaela van der Schaar

University of Cambridge, The Alan Turing Institute
Verified email at ee.ucla.edu
Cited by 31192

Time-series generative adversarial networks

…, D Jarrett, M Van der Schaar - Advances in neural …, 2019 - proceedings.neurips.cc
A good generative model for time-series data should preserve temporal dynamics, in the
sense that new sequences respect the original relationships between variables across time. …

From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges

…, C Lambert, M Van Der Schaar - Clinical Pharmacology …, 2021 - Wiley Online Library
… Alaa and van der Schaar 22, 60 developed a unifying theory highlighting the fundamental
… Alaa and van der Schaar 21 evaluate the CMGP model on estimating the survival benefits of …

[HTML][HTML] Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study

…, I Bica, V Marra, A Ercole, M van Der Schaar - The Lancet Global …, 2020 - thelancet.com
Background Brazil ranks second worldwide in total number of COVID-19 cases and deaths.
Understanding the possible socioeconomic and ethnic health inequities is particularly …

PATE-GAN: Generating synthetic data with differential privacy guarantees

J Jordon, J Yoon, M Van Der Schaar - International conference on …, 2018 - openreview.net
Machine learning has the potential to assist many communities in using the large datasets
that are becoming more and more available. Unfortunately, much of that potential is not being …

Deephit: A deep learning approach to survival analysis with competing risks

…, W Zame, J Yoon, M Van Der Schaar - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Survival analysis (time-to-event analysis) is widely used in economics and finance,
engineering, medicine and many other areas. A fundamental problem is to understand the …

A machine learning approach for tracking and predicting student performance in degree programs

…, KH Moon, M Van Der Schaar - IEEE Journal of Selected …, 2017 - ieeexplore.ieee.org
Accurately predicting students’ future performance based on their ongoing academic records
is crucial for effectively carrying out necessary pedagogical interventions to ensure students…

GANITE: Estimation of individualized treatment effects using generative adversarial nets

J Yoon, J Jordon, M Van Der Schaar - International conference on …, 2018 - openreview.net
Estimating individualized treatment effects (ITE) is a challenging task due to the need for an
individual's potential outcomes to be learned from biased data and without having access to …

[HTML][HTML] Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants

…, E Di Angelantonio, JHF Rudd, M Van der Schaar - PloS one, 2019 - journals.plos.org
Background Identifying people at risk of cardiovascular diseases (CVD) is a cornerstone of
preventative cardiology. Risk prediction models currently recommended by clinical …

Deep generative models for 3D linker design

F Imrie, AR Bradley, M van der Schaar… - Journal of chemical …, 2020 - ACS Publications
Rational compound design remains a challenging problem for both computational methods
and medicinal chemists. Computational generative methods have begun to show promising …

Machine learning in the air

…, CR Murthy, M van der Schaar - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …