Co-occurring keywords · papers mentioning both
Papers
Determine the Number of States in Hidden Markov Models via Marginal Likelihood
JMLR 2025
LLM-enhanced Score Function Evolution for Causal Structure Learning
IJCAI 2025
Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria
JMLR 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models
AISTATS 2024
Gibbs-Based Information Criteria and the Over-Parameterized Regime
AISTATS 2024
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
NeurIPS 2024
Learning Noisy-Or Networks with an Application in Linguistics
PGM 2022
Transfer Learning in Information Criteria-based Feature Selection
JMLR 2022
Improving Boundary Estimation in Audiovisual Speech Activity Detection Using Bayesian Information Criterion
Interspeech 2016
Investigating Various Diarization Algorithms for Speaker in the Wild (SITW) Speaker Recognition Challenge
Interspeech 2016
A Widely Applicable Bayesian Information Criterion
JMLR 2013
An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models
JMLR 2011
Extended Bayesian Information Criteria for Gaussian Graphical Models
NeurIPS 2010
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
NeurIPS 2008
Catching Up Faster in Bayesian Model Selection and Model Averaging
NeurIPS 2007