Andrew R. Lawrence

According to our database, Andrew R. Lawrence authored at least 5 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Causal Analysis of the TOPCAT Trial: Spironolactone for Preserved Cardiac Function Heart Failure.

Francesca E. D. Raimondi, Tadhg O'Keeffe, Hana Chockler, Andrew R. Lawrence, Tamara Stemberga, Andre Franca, Maksim Sipos, Javed Butler, Shlomo Ben-Haim

CoRR, 2022

Equality of Effort via Algorithmic Recourse.

Francesca E. D. Raimondi, Andrew R. Lawrence, Hana Chockler

CoRR, 2022

Domain Knowledge in A*-Based Causal Discovery.

Steven Kleinegesse, Andrew R. Lawrence, Hana Chockler

CoRR, 2022

2021

Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data.

Andrew R. Lawrence, Marcus Kaiser, Rui Sampaio, Maksim Sipos

CoRR, 2021

2019

DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures.

Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell

Proceedings of the 36th International Conference on Machine Learning, 2019