Co-occurring keywords · papers mentioning both
Papers
Can Transformers Learn Full Bayesian Inference in Context?
ICML 2025
Feature Selection for Latent Factor Models
CVPR 2025
Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
NAACL 2025
On adaptivity and minimax optimality of two-sided nearest neighbors
AISTATS 2025
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models
CLeaR 2024
Differentially Private Data Release for Mixed-type Data via Latent Factor Models
JMLR 2024
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation
AAAI 2024
Simple and scalable algorithms for cluster-aware precision medicine
AISTATS 2024
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery
AISTATS 2023
Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
ICML 2023
Causal Imputation via Synthetic Interventions
CLeaR 2022
Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors
CLeaR 2022
Bayesian Latent Factor Model for Higher-order Data
ACML 2021
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond
JMLR 2021
A New Class of Time Dependent Latent Factor Models with Applications
JMLR 2020
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
IJCAI 2020
Generalized probabilistic principal component analysis of correlated data
JMLR 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
ICML 2020
Ordinal Non-negative Matrix Factorization for Recommendation
ICML 2020
Fast structure learning with modular regularization
NeurIPS 2019
ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation
IJCAI 2019
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization
IJCAI 2019
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
NeurIPS 2019
Non-Compensatory Psychological Models for Recommender Systems
AAAI 2019
Smooth neighborhood recommender systems
JMLR 2019