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Estimating Network-Mediated Causal Effects via Principal Components Network Regression
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Estimating Network-Mediated Causal Effects via Principal Components Network Regression
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Estimating Network-Mediated Causal Effects via Principal Components Network Regression
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ANOVA bootstrapped principal components analysis for logistic regression
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From sentiment to principal components: Emotional drivers of retweeting in Nordic countries
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OnlinePCA.jl: A Julia Package for Out-of-core and Sparse Principal Component Analysis
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ENHANCED GNN WITH CAUSAL PROXIMITY VECTORS: BRIDGING CAUSALITY AND PROXIMITY IN GRAPH NEURAL NETWORKS
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Lexical Distractor Mining Network for Causal Video Question Answering
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A causal fused lasso for interpretable heterogeneous treatment effects estimation
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DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning
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Identifying risk patterns for sudden cardiac death in athletes: A clustering and principal component analysis approach
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Outlier Robust and Sparse Estimation of Linear Regression Coefficients
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Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior
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Decentralized Sparse Linear Regression via Gradient-Tracking
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Modelling Populations of Interaction Networks via Distance Metrics
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Learning causal graphs via nonlinear sufficient dimension reduction
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Causal Effect of Functional Treatment
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MANOJAVAM: A Scalable, Unified FPGA Accelerator for Matrix Multiplication and Singular Value Decomposition in Principal Component Analysis
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Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation
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Optimal Experiment Design for Causal Effect Identification
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Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
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RGB-to-NIR Facial Image Translation via Lightweight Generative Adversarial Network