David Knowles
6 papers · 2014–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (9) π£ Hot Topic Early Bird
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(17)
Conferences
ICML (4)
AISTATS (1)
NIPS (1)
Top co-authors
Keywords
bayesian nonparametrics
(3)
feature allocation
(2)
beta process
(2)
hierarchical clustering
(1)
markov chain monte carlo
(1)
maximum likelihood
(1)
gibbs sampling
(1)
hierarchical dirichlet process
(1)
indian buffet process
(1)
stick-breaking process
(1)
gamma process
(1)
variance estimation
(1)
infinite hidden markov model
(1)
stochastic variational inference
(1)
hidden markov model
(1)
latent factor model
(1)
dirichlet distribution
(1)
sequential datum
(1)
variational autoencoder
(1)
heteroscedastic regression
(1)
Papers
Faithful Heteroscedastic Regression with Neural Networks
AISTATS 2023
A New Distribution on the Simplex with Auto-Encoding Applications
NIPS 2019
A Birth-Death Process for Feature Allocation
ICML 2017
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
ICML 2015
Beta Diffusion Trees
ICML 2014
A reversible infinite HMM using normalised random measures
ICML 2014