Michalis K. Titsias
15 papers · 2007–2024 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(12)
Deep Learning
(9)
Optimization & Theory
(9)
Artificial Intelligence
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Core Methods
(7)
Bayesian & Probabilistic Β· Machine Learning
(6)
Models
(6)
Learning Types
(3)
Data Science & Analytics
(2)
Architectures
(2)
Learning Paradigms
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
markov chain monte carlo
(5)
gaussian process
(5)
variational inference
(5)
bayesian inference
(4)
variational autoencoder
(3)
latent variable model
(2)
posterior inference
(2)
continual learning
(2)
probabilistic model
(2)
dimensionality reduction
(2)
reinforcement learning
(1)
bayesian nonparametrics
(1)
nonparametric bayesian
(1)
few-shot learning
(1)
langevin dynamics
(1)
unsupervised learning
(1)
multi-task learning
(1)
gradient estimation
(1)
zero-shot learning
(1)
stochastic gradient
(1)
Papers
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
NeurIPS 2024
Simplified and Generalized Masked Diffusion for Discrete Data
NeurIPS 2024
Optimal Preconditioning and Fisher Adaptive Langevin Sampling
NeurIPS 2023
Gradient Estimation with Discrete Stein Operators
NeurIPS 2022
Entropy-based adaptive Hamiltonian Monte Carlo
NeurIPS 2021
Information theoretic meta learning with Gaussian processes
UAI 2021
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains
UAI 2021
Functional Regularisation for Continual Learning with Gaussian Processes
ICLR 2020
Unbiased Implicit Variational Inference
AISTATS 2019
Bayesian Boolean Matrix Factorisation
ICML 2017
Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes
JMLR 2016
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
NeurIPS 2011
Variational Gaussian Process Dynamical Systems
NeurIPS 2011
Efficient Sampling for Gaussian Process Inference using Control Variables
NeurIPS 2008
The Infinite Gamma-Poisson Feature Model
NeurIPS 2007