multidimensional scaling

Global Fréchet Manifold Learning for Random Objects, With Application to Low-Dimensional Wasserstein Representations of Distributional Data JMLR 2026 Neural network embeddings recover value dimensions from psychometric survey items on par with human data EACL 2026 Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding CVPR 2025 Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance AAAI 2025 Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams COLT 2025 On Probabilistic Embeddings in Optimal Dimension Reduction JMLR 2025 StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling AISTATS 2025 The Historian’s Fingerprint: A Computational Stylometric Study of the Zuo Commentary and Discourses of the States NAACL 2025 Analysis of Glyph and Writing System Similarities Using Siamese Neural Networks COLING 2024 Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms NeurIPS 2024 Additive manifesto decomposition: A policy domain aware method for understanding party positioning ACL 2023 Unsupervised Manifold Alignment with Joint Multidimensional Scaling ICLR 2023 dialectR: Doing Dialectometry in R COLING 2022 As You Like It: Localization via Paired Comparisons JMLR 2021 How can classical multidimensional scaling go wrong? NeurIPS 2021 Multidimensional Scaling: Approximation and Complexity ICML 2021 Dimensionality reduction: theoretical perspective on practical measures NeurIPS 2019 Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling CVPR 2018 Representation Tradeoffs for Hyperbolic Embeddings ICML 2018 Finite Sample Prediction and Recovery Bounds for Ordinal Embedding NeurIPS 2016 Generation of Emotion Control Vector Using MDS-Based Space Transformation for Expressive Speech Synthesis Interspeech 2016 A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NeurIPS 2015 Classical Scaling Revisited ICCV 2015 Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013 Euclidean Embedding of Co-occurrence Data JMLR 2007