Michalis Titsias
13 papers · 2010–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge
π
Conference Polyglot
(4)
π
Academic Marathon
(15)
π
Century Club
(13)
π
Conference Pioneer
Conferences
AISTATS (5)
ICML (5)
ICLR (2)
NIPS (1)
Top co-authors
Keywords
bayesian inference
(4)
variational inference
(3)
stochastic variational inference
(3)
markov chain monte carlo
(2)
marginal likelihood
(2)
latent variable model
(2)
variational autoencoder
(2)
logistic regression
(1)
gaussian process
(1)
stochastic gradient
(1)
gradient estimation
(1)
adaptive sampling
(1)
gaussian process regression
(1)
sparse approximation
(1)
convolution process
(1)
variance reduction
(1)
gibbs sampler
(1)
kl divergence
(1)
multi-task learning
(1)
dimensionality reduction
(1)
Papers
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
ICML 2025
New Bounds for Sparse Variational Gaussian Processes
ICML 2025
Kalman Filter for Online Classification of Non-Stationary Data
ICLR 2024
Information-theoretic Online Memory Selection for Continual Learning
ICLR 2022
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
AISTATS 2022
Sparse Orthogonal Variational Inference for Gaussian Processes
AISTATS 2020
A Contrastive Divergence for Combining Variational Inference and MCMC
ICML 2019
Gradient-based Adaptive Markov Chain Monte Carlo
NIPS 2019
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models
AISTATS 2019
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
ICML 2018
Doubly Stochastic Variational Bayes for non-Conjugate Inference
ICML 2014
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
AISTATS 2010
Bayesian Gaussian Process Latent Variable Model
AISTATS 2010