The Optimization, Analytics and Learning (OpAL) Lab is a research group at the Cheriton School of Computer Science. Our work is focused on machine learning on graphs, which is about making predictions using multi-modal datasets that combine features and relational information among entities. Our work involves stronger control on optimization formulations and algorithms, as well as their parallel and communication efficient implementations. We are equally interested in theory and in practice.
We are looking for passionate new PhD students, Postdocs, and Master students to join the team (more info) !
We are grateful for funding from the University of Waterloo and NSERC
Aseem Baranwal has been nominated by the CS department for the PhD Google Fellowship.28 September 2021
Our paper Local Hyper-flow Diffusion was accepted at NeurIPS 2021.13 August 2021
Our paper Targeted Pandemic Containment Through Identifying Local Contact Network Bottlenecks was accepted at PLOS Computational Biology.22 July 2021
Our paper Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization was accepted at ICML 21.23 February 2021
Our paper Statistical guarantees for local graph clustering was accepted at JMLR.17 February 2021
New paper: Local Hyper-flow Diffusion.