factor model

Asset Pricing with Contrastive Adversarial Variational Bayes IJCAI 2025 Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate ICML 2025 Factor Augmented Tensor-on-Tensor Neural Networks AAAI 2025 FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction AAAI 2025 Predicting Housing Transaction with Common Covariance GNNs IJCAI 2024 HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE IJCAI 2023 Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding JMLR 2023 Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks NeurIPS 2022 Efficient Learning of Discrete Graphical Models NeurIPS 2020 Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models JMLR 2020 Uncertainty-Aware Lookahead Factor Models for Quantitative Investing ICML 2020 Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NeurIPS 2014 Sparse Linear Identifiable Multivariate Modeling JMLR 2011 Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Factor Modeling for Advertisement Targeting NeurIPS 2009