dimensionality reduction

StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling AISTATS 2025 Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion ICLR 2025 Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract) AAAI 2025 Tensor Network: from the Perspective of AI4Science and Science4AI IJCAI 2025 Text Anomaly Detection with Simplified Isolation Kernel EMNLP 2025 Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing AAAI 2025 Valid Bootstraps for Network Embeddings with Applications to Network Visualisation UAI 2025 Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025 Voxplorer: Voice data exploration and projection in an interactive dashboard Interspeech 2025 Wrapped Partial Label Dimensionality Reduction via Dependence Maximization IJCAI 2025 Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction JMLR 2024 Amortized Eigendecomposition for Neural Networks NeurIPS 2024 An Impossibility Theorem for Node Embedding AISTATS 2024 AnnoPlot: Interactive Visualizations of Text Annotations EACL 2024 Approximating mutual information of high-dimensional variables using learned representations NeurIPS 2024 A representation-learning game for classes of prediction tasks ICLR 2024 Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems Using Representation Learning AAAI 2024 Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings EMNLP 2024 Black-Box k-to-1-PCA Reductions: Theory and Applications COLT 2024 Capturing the denoising effect of PCA via compression ratio NeurIPS 2024 Compressing Latent Space via Least Volume ICLR 2024 Consistency of Dictionary-Based Manifold Learning AISTATS 2024 Contrastive dimension reduction: when and how? NeurIPS 2024 Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024 Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024