Jens Lagergren
9 papers · 2011–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Optimization & Theory · Machine Learning
(7)
Models
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core Methods
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Learning Types
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Research
(1)
Keywords
variational inference
(4)
evidence lower bound
(3)
black-box variational inference
(2)
mixture model
(2)
importance sampling
(2)
bayesian inference
(2)
variational autoencoder
(2)
feature selection
(1)
particle filter
(1)
structure learning
(1)
markov chain monte carlo
(1)
conditional probability
(1)
integer linear programming
(1)
hidden variable oncogenetic trees
(1)
density estimation
(1)
posterior approximation
(1)
hidden oncogenetic trees
(1)
expectation maximization
(1)
generative model
(1)
structural em algorithm
(1)
Papers
Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds
AISTATS 2024
Efficient Mixture Learning in Black-Box Variational Inference
ICML 2024
Indirectly Parameterized Concrete Autoencoders
ICML 2024
Variational Resampling
AISTATS 2024
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
ICML 2023
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
AISTATS 2022
VaiPhy: a Variational Inference Based Algorithm for Phylogeny
NeurIPS 2022
Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming
AISTATS 2014
A Global Structural EM Algorithm for a Model of Cancer Progression
NeurIPS 2011