Christopher Yau
14 papers · 2014–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (10) π Cross-Pollinator (15)
π
Interdisciplinary Bridge
π
Conference Polyglot
(4)
π
Academic Marathon
(10)
π
Keyword Champion
(2)
π
Century Club
(13)
ποΈ
Keyword Collector
(60)
π₯
Unstoppable
(6)
Conferences
AISTATS (4)
ICML (4)
NIPS (4)
AAAI (1)
MLHC (1)
Top co-authors
Keywords
dimensionality reduction
(4)
bayesian inference
(4)
variational autoencoder
(4)
gibbs sampling
(2)
feature clustering
(2)
latent variable model
(2)
posterior inference
(2)
latent variable
(2)
factorial hidden markov model
(2)
gaussian process
(1)
low-rank approximation
(1)
variational inference
(1)
u-net architecture
(1)
diffusion process
(1)
markov chain monte carlo
(1)
probabilistic modeling
(1)
mcmc sampling
(1)
collaborative filtering
(1)
survival analysis
(1)
two-sample test
(1)
Papers
Hybrid Restricted Master Problem for Boolean Matrix Factorisation
AAAI 2026
Mixed Type Multimorbidity Variational Autoencoder: A Deep Generative Model for Multimorbidity Analysis
MLHC 2024
Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis
AISTATS 2022
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
NIPS 2022
Multi-Facet Clustering Variational Autoencoders
NIPS 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders
ICML 2021
Neural Decomposition: Functional ANOVA with Variational Autoencoders
AISTATS 2020
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
AISTATS 2020
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
ICML 2019
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models
AISTATS 2019
Probabilistic Boolean Tensor Decomposition
ICML 2018
Bayesian Boolean Matrix Factorisation
ICML 2017
Testing and Learning on Distributions with Symmetric Noise Invariance
NIPS 2017
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
NIPS 2014