Michalis Titsias
14 papers · 2005–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Ultra 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
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Keyword Collector
(62)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(9)
Artificial Intelligence
(6)
Deep Learning
(6)
Models
(6)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Core Methods
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Mathematics & Optimization
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization
(1)
Probability
(1)
Keywords
bayesian inference
(5)
stochastic variational inference
(3)
variational inference
(3)
markov chain monte carlo
(2)
latent variable model
(2)
marginal likelihood
(2)
continual learning
(2)
variational autoencoder
(2)
online learning
(1)
kl divergence
(1)
multi-task learning
(1)
adaptive sampling
(1)
gradient estimation
(1)
dimensionality reduction
(1)
uncertainty quantification
(1)
sparse approximation
(1)
logistic regression
(1)
gaussian process regression
(1)
kalman filter
(1)
gaussian process
(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
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
AISTATS 2022
Information-theoretic Online Memory Selection for Continual Learning
ICLR 2022
Sparse Orthogonal Variational Inference for Gaussian Processes
AISTATS 2020
A Contrastive Divergence for Combining Variational Inference and MCMC
ICML 2019
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models
AISTATS 2019
Gradient-based Adaptive Markov Chain Monte Carlo
NeurIPS 2019
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
ICML 2018
Doubly Stochastic Variational Bayes for non-Conjugate Inference
ICML 2014
Bayesian Gaussian Process Latent Variable Model
AISTATS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
AISTATS 2010
Variational Learning of Inducing Variables in Sparse Gaussian Processes
AISTATS 2005