Andreas Damianou
9 papers · 2011–2021 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (21)
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Keyword Pioneer
📈
Trend Setter
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Optimization & Theory
(6)
Deep Learning
(4)
Learning Paradigms
(4)
Learning Types · Machine Learning
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Core Methods
(3)
Models
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Architectures
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
variational inference
(6)
gaussian process
(5)
transfer learning
(3)
gaussian process latent variable model
(2)
latent variable model
(2)
model selection
(1)
bayesian nonparametrics
(1)
factor analysis
(1)
bayesian modeling
(1)
reinforcement learning
(1)
domain adaptation
(1)
computer vision
(1)
bayesian inference
(1)
transductive learning
(1)
knowledge distillation
(1)
manifold learning
(1)
knowledge transfer
(1)
deep learning
(1)
preference learning
(1)
approximate inference
(1)
Papers
Fast Adaptation with Linearized Neural Networks
AISTATS 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis
JMLR 2021
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
ICLR 2021
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
ICLR 2020
Transferring Knowledge across Learning Processes
ICLR 2019
Variational Information Distillation for Knowledge Transfer
CVPR 2019
Preferential Bayesian Optimization
ICML 2017
Deep Gaussian Processes
AISTATS 2013
Variational Gaussian Process Dynamical Systems
NeurIPS 2011