Jens Lagergren
9 papers · 2011–2024 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (13) π Cross-Pollinator (11)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(14)
π
Interdisciplinary Bridge
π
Keyword Champion
Conferences
AISTATS (4)
ICML (3)
NIPS (2)
Top co-authors
Keywords
variational inference
(4)
importance sampling
(2)
evidence lower bound
(2)
mixture model
(2)
bayesian inference
(2)
markov chain monte carlo
(1)
particle filter
(1)
conditional probability
(1)
integer linear programming
(1)
hidden variable oncogenetic trees
(1)
cancer progression
(1)
structural em algorithm
(1)
cross-sectional data
(1)
hidden oncogenetic trees
(1)
posterior approximation
(1)
generative model
(1)
bayesian network
(1)
probabilistic model
(1)
latent representation
(1)
variational objective
(1)
Papers
Indirectly Parameterized Concrete Autoencoders
ICML 2024
Variational Resampling
AISTATS 2024
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
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
ICML 2023
VaiPhy: a Variational Inference Based Algorithm for Phylogeny
NIPS 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
AISTATS 2022
Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming
AISTATS 2014
A Global Structural EM Algorithm for a Model of Cancer Progression
NIPS 2011