Andrew McDonald
5 papers · 2015–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (8) π Cross-Pollinator (13)
π
Renaissance Researcher
(5)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(15)
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Trend Setter
Conferences
IJCAI (3)
AISTATS (1)
CVPR (1)
Top co-authors
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)
euclidean projection
(1)
low rank matrix
(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
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
IJCAI 2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
IJCAI 2022
Fitting Spectral Decay with the k-Support Norm
AISTATS 2016
Learning With Dataset Bias in Latent Subcategory Models
CVPR 2015