dimensionality reduction

On Slicing Optimality for Mutual Information NeurIPS 2023 On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis NeurIPS 2023 On the Dimensionality of Sentence Embeddings EMNLP 2023 On the Power of SVD in the Stochastic Block Model NeurIPS 2023 SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities NeurIPS 2023 SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series ICML 2023 Sparse PCA: a Geometric Approach JMLR 2023 The Fast Johnson-Lindenstrauss Transform Is Even Faster ICML 2023 Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs AAAI 2023 UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering AAAI 2023 Uncovering motifs of concurrent signaling across multiple neuronal populations NeurIPS 2023 Unsupervised visualization of image datasets using contrastive learning ICLR 2023 White-Box Transformers via Sparse Rate Reduction NeurIPS 2023 WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings ACL 2023 A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022 Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition Interspeech 2022 Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss NeurIPS 2022 A Probabilistic Graph Coupling View of Dimension Reduction NeurIPS 2022 Attraction-Repulsion Spectrum in Neighbor Embeddings JMLR 2022 Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022 CCA: An ML Pipeline for Cloud Anomaly Troubleshooting AAAI 2022 CloudCluster: Unearthing the Functional Structure of a Cloud Service NSDI 2022 CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data CVPR 2022 Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs NeurIPS 2022 D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data JMLR 2022