John S. Shawe-taylor
7 papers · 2006–2018 · 1 venue · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3)
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Keyword Champion
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Keyword Pioneer
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Keyword Collector
(61)
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Trend Setter
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Core Methods
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Mathematics
(2)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization
(1)
Keywords
pac-bayes bound
(2)
support vector machine
(2)
feature learning
(1)
variational inference
(1)
bayesian inference
(1)
structured prediction
(1)
parameter estimation
(1)
diffusion process
(1)
subspace learning
(1)
kernel principal component analysis
(1)
multi-label classification
(1)
empirical risk minimization
(1)
hyperparameter estimation
(1)
cross validation
(1)
vc dimension
(1)
statistical learning theory
(1)
kernel pca
(1)
mutual information
(1)
side information
(1)
algorithmic fairness
(1)
Papers
Empirical Risk Minimization Under Fairness Constraints
NeurIPS 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors
NeurIPS 2018
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
NeurIPS 2014
PAC-Bayesian Analysis of Contextual Bandits
NeurIPS 2011
Theory of matching pursuit
NeurIPS 2008
Variational Inference for Diffusion Processes
NeurIPS 2007
Tighter PAC-Bayes Bounds
NeurIPS 2006