Bellairs workshop 2021

2021 Bellairs Workshop on Machine Learning and Statistical Signal Processing for Data on Graphs

This workshop brought together leading international researchers who are developing and using machine learning and statistical signal processing methods to analyze data recorded on graphs and networks. The workshop consisted of research presentations and several tutorials. We discussed open problems and forged research collaborations, identifying promising future directions for graph data analysis. The event was held at McGill's beautiful Bellairs Research Institute in Holetown, Saint James Parish, Barbados.

Full presentations

• Yunpeng Li (Surrey, UK) -- "Some Initial Explorations of Differentiable Particle Filters"
• Waheed Bajwa (Rutgers, USA) -- "Nonconvex first-order optimization: When can gradient descent escape saddle points in linear time?"
• Victor Elvira (Edinburgh, UK) -- "Modeling, filtering, and graph discovery in state-space models"
• Petar Djuric (Stonybrook, USA) -- "Gaussian processes for inference of deep state-space models"
• Georgios Giannakis (U. Minnesota, USA) -- "Ensemble Gaussian Processes for Online, Interactive, and Deep Learning with Scalability and Adaptivity"
• Gonzalo Mateos (Rochester, USA) -- "Network Streams, Embeddings, and Topology Learning"
• Danilo Mandic (Imperial College, UK) -- "Machine Intelligence on Graphs"
• Mark Coates (McGill, Canada) -- "Alignment-free Node Embedding for EDA Congestion Prediction"

Student presentations

• Florence Regol (McGill, Canada) -- "Diffusion Generative Model for Categorical Data Modeling"
• Soumyasundar Pal (McGill, Canada) -- "RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting"
• Batoul Taki (Rutgers, USA) -- "Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression"
• Panos Traganitis (U. Minnesota, USA) -- "Robust Crowdsourcing"
• David Hostallero (McGill, Canada) -- "Looking at the BiG Picture: Incorporating Bipartite Graphs in Drug Response Prediction"
• Kurt Butler (Stonybrook, USA) -- "A Tutorial on Causal Inference in Dynamical Systems"
• Chen Cui (Stonybrook, USA) -- "In Search for Brain Functional Connectivity"
• Mitch Roddenberry (Rice, USA) -- "a probabilistic view of locality in graph signal processing"
• Antonios Valkanas (McGill, Canada) -- "Bag Graph: Modelling Bag Relations in Multiple Instance Learning"