David Knowles
6 papers · 2014–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Core Methods
(4)
Optimization & Theory
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Architectures
(1)
Learning Types · Deep Learning
(1)
Models
(1)
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 data
(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
NeurIPS 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
A reversible infinite HMM using normalised random measures
ICML 2014
Beta Diffusion Trees
ICML 2014