dimension reduction

Non-Euclidean Self-Organizing Maps IJCAI 2022 On Some Fast And Robust Classifiers For High Dimension, Low Sample Size Data AISTATS 2022 OPEN: Orthogonal Propagation with Ego-Network Modeling NeurIPS 2022 Semiparametric causal sufficient dimension reduction of multidimensional treatments UAI 2022 Sub-exponential time Sum-of-Squares lower bounds for Principal Components Analysis NeurIPS 2022 Sufficient reductions in regression with mixed predictors JMLR 2022 Topic Modeling by Clustering Language Model Embeddings: Human Validation on an Industry Dataset EMNLP 2022 Deep Learning for Functional Data Analysis with Adaptive Basis Layers ICML 2021 Dimension reduction for data with heterogeneous missingness UAI 2021 Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality NAACL 2021 Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications AISTATS 2021 NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation JMLR 2021 Statistical guarantees for generative models without domination ALT 2021 Stochastic Approximation for Online Tensorial Independent Component Analysis COLT 2021 Subspace Clustering through Sub-Clusters JMLR 2021 Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization JMLR 2021 A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction COLING 2020 Geomstats: A Python Package for Riemannian Geometry in Machine Learning JMLR 2020 HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis AAAI 2020 Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020 Noise Accumulation in High Dimensional Classification and Total Signal Index JMLR 2020 Speaker-Aware Linear Discriminant Analysis in Speaker Verification Interspeech 2020 Survey on Feature Transformation Techniques for Data Streams IJCAI 2020 A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem CVPR 2019 A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019