Jukka Corander
6 papers · 2013–2024 · 3 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 · Bronze 🗺️ Taxonomy Completionist (22)
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Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Core Methods
(4)
Mathematics & Optimization
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Core AI
(2)
Learning Types
(2)
Optimization
(2)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
likelihood-free inference
(3)
bayesian inference
(2)
bayesian optimization
(2)
structure learning
(2)
bayesian network
(2)
markov chain monte carlo
(1)
low-rank approximation
(1)
gaussian process
(1)
random walk
(1)
constraint satisfaction
(1)
approximate bayesian inference
(1)
metropolis-hastings algorithm
(1)
markov network structure
(1)
answer set programming
(1)
approximate bayesian computation
(1)
generative model
(1)
graphical model
(1)
probabilistic graphical model
(1)
inverse problem
(1)
doubly stochastic matrix
(1)
Papers
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
JMLR 2024
ELFI: Engine for Likelihood-Free Inference
JMLR 2018
Structure Learning for Bayesian Networks over Labeled DAGs
PGM 2018
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
JMLR 2016
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis
JMLR 2016
Learning Chordal Markov Networks by Constraint Satisfaction
NeurIPS 2013