Co-occurring keywords · papers mentioning both
Papers
Can We Predict Performance of Large Models across Vision-Language Tasks?
ICML 2025
Learning meta-features for AutoML
ICLR 2022
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
ICLR 2021
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization
ICML 2018
Probabilistic Matrix Factorization for Automated Machine Learning
NeurIPS 2018
Learning User Dependencies for Recommendation
IJCAI 2017
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network
ACML 2016
General Table Completion using a Bayesian Nonparametric Model
NeurIPS 2014
Probabilistic Matrix Factorization with Non-random Missing Data
ICML 2014
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
ICML 2014
Probabilistic Matrix Factorization
NeurIPS 2007