Andrew McDonald
5 papers · 2015–2023 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(5)
Core Methods
(5)
Data Science & Analytics
(2)
Learning Types
(2)
Methods
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Models
(1)
Optimization
(1)
Keywords
time series forecasting
(2)
block maxima
(2)
feature learning
(1)
variational inference
(1)
transfer learning
(1)
self-supervised learning
(1)
deep learning
(1)
spectral norm
(1)
matrix completion
(1)
low-rank matrix
(1)
euclidean projection
(1)
conditional gradient
(1)
contrastive learning
(1)
generative model
(1)
support vector machine
(1)
normalizing flow
(1)
heavy-tailed distribution
(1)
dataset bia
(1)
multivariate extreme
(1)
tail dependence
(1)
Papers
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning
IJCAI 2023
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
IJCAI 2022
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
IJCAI 2022
Fitting Spectral Decay with the k-Support Norm
AISTATS 2016
Learning With Dataset Bias in Latent Subcategory Models
CVPR 2015