dimensionality reduction

Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis AAAI 2026 Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization UAI 2026 Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis AAAI 2026 Global Fréchet Manifold Learning for Random Objects, With Application to Low-Dimensional Wasserstein Representations of Distributional Data JMLR 2026 Nested Subspace Learning with Flags JMLR 2026 Provably Data-Driven Projection Method for Quadratic Programming AAAI 2026 Putting Fair Division on the Map AAAI 2026 RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection AAAI 2026 Sound-AI: A Pedagogical Tool for Exploring AI in Audio and Bioacoustic Research AAAI 2026 TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data AAAI 2026 Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization JMLR 2026 ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning AISTATS 2025 A Flag Decomposition for Hierarchical Datasets CVPR 2025 Agtech Framework for Cranberry-Ripening Analysis using Vision Foundation Models WACV 2025 Bayesian Regularization of Latent Representation ICLR 2025 Beyond Worst-Case Dimensionality Reduction for Sparse Vectors ICLR 2025 Clustering LLM-based Word Embeddings to Determine Topics from Bangla Articles AACL 2025 Deep Generative Models: Complexity, Dimensionality, and Approximation JMLR 2025 Density estimation with LLMs: a geometric investigation of in-context learning trajectories ICLR 2025 Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights ICML 2025 Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings EMNLP 2025 Efficient Sparse PCA via Block-Diagonalization ICLR 2025 EigenGS Representation: From Eigenspace to Gaussian Image Space CVPR 2025 Enhanced Denesity Peak Clustering for High-Dimensional Data AAAI 2025 Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data IJCAI 2025