sufficient dimension reduction

Heterogeneous Sufficient Dimension Reduction and Subspace Clustering ICML 2025 Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025 Neural Networks Perform Sufficient Dimension Reduction AAAI 2025 Enhancing Sufficient Dimension Reduction via Hellinger Correlation ICML 2024 On Sufficient Graphical Models JMLR 2024 Dimension Reduction and MARS JMLR 2023 Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023 A Forward Approach for Sufficient Dimension Reduction in Binary Classification JMLR 2022 Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network NeurIPS 2022 Sufficient reductions in regression with mixed predictors JMLR 2022 Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction ICML 2021 Learning Fair Representations for Kernel Models AISTATS 2020 Online Sufficient Dimension Reduction Through Sliced Inverse Regression JMLR 2020 Sufficient dimension reduction for classification using principal optimal transport direction NeurIPS 2020 The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response JMLR 2020 Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities ACML 2015 Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information ACML 2011 Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010