high-dimensional data

Fast Private Kernel Density Estimation via Locality Sensitive Quantization ICML 2023 Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract) AAAI 2023 GEASS: Neural causal feature selection for high-dimensional biological data ICLR 2023 High dimensional, tabular deep learning with an auxiliary knowledge graph NeurIPS 2023 Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data ICLR 2023 Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023 K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NeurIPS 2023 Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data ICML 2023 Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps ICML 2023 Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023 WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings ACL 2023 A Sampling-Based Approach for Efficient Clustering in Large Datasets CVPR 2022 Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022 Differential privacy and robust statistics in high dimensions COLT 2022 Dimension reduction for high-dimensional small counts with KL divergence UAI 2022 Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022 Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays JMLR 2022 LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022 Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data ACML 2022 Multiple-Splitting Projection Test for High-Dimensional Mean Vectors JMLR 2022 Neural score matching for high-dimensional causal inference AISTATS 2022 Robust High-Dimensional Classification From Few Positive Examples IJCAI 2022 SpaceMAP: Visualizing High-Dimensional Data by Space Expansion ICML 2022 The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS 2022 Two-way Sparse Network Inference for Count Data AISTATS 2022