dimension reduction

A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables JMLR 2024 Contrastive dimension reduction: when and how? NeurIPS 2024 Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024 Graph Clustering Methods Derived from Column Subset Selection (Student Abstract) AAAI 2024 Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds COLT 2024 Learning Reduced Fluid Dynamics AAAI 2024 On Sufficient Graphical Models JMLR 2024 Robust Principal Component Analysis using Density Power Divergence JMLR 2024 VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024 Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023 Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization ICCV 2023 Auto-Weighted Multi-View Clustering for Large-Scale Data AAAI 2023 Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures ICML 2023 Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel AISTATS 2023 Diffusion Representation for Asymmetric Kernels via Magnetic Transform NeurIPS 2023 Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023 EmbedTextNet: Dimension Reduction with Weighted Reconstruction and Correlation Losses for Efficient Text Embedding ACL 2023 Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation IJCAI 2023 On The Relative Error of Random Fourier Features for Preserving Kernel Distance ICLR 2023 A Probabilistic Graph Coupling View of Dimension Reduction NeurIPS 2022 Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder EMNLP 2022 Dimension reduction for high-dimensional small counts with KL divergence UAI 2022 High-dimensional Additive Gaussian Processes under Monotonicity Constraints NeurIPS 2022 Manifold Coordinates with Physical Meaning JMLR 2022 Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NeurIPS 2022