{"total":29,"rows":[{"id":"2202.04648","title":"A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems","created":"2022-02-09","cited_by_count":20,"area":null},{"id":"2402.10487","title":"RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data","created":"2024-02-16","cited_by_count":17,"area":null},{"id":"2108.11000","title":"Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details","created":"2021-08-25","cited_by_count":14,"area":null},{"id":"2111.08190","title":"Learning Augmentation Distributions using Transformed Risk Minimization","created":"2021-11-16","cited_by_count":13,"area":null},{"id":"2103.00564","title":"An Introduction to Johnson-Lindenstrauss Transforms","created":"2021-02-28","cited_by_count":11,"area":null},{"id":"2108.04172","title":"Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey","created":"2021-08-09","cited_by_count":8,"area":null},{"id":"2308.00685","title":"Learning from Hypervectors: A Survey on Hypervector Encoding","created":"2023-08-01","cited_by_count":7,"area":null},{"id":"2311.17885","title":"Are Ensembles Getting Better all the Time?","created":"2023-11-29","cited_by_count":6,"area":null},{"id":"2102.03892","title":"RaSE: A Variable Screening Framework via Random Subspace Ensembles","created":"2021-02-07","cited_by_count":2,"area":null},{"id":"2304.09154","title":"Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning","created":"2023-04-18","cited_by_count":2,"area":null},{"id":"2404.17746","title":"On the Rashomon ratio of infinite hypothesis sets","created":"2024-04-27","cited_by_count":2,"area":null},{"id":"2106.01092","title":"Statistical optimality conditions for compressive ensembles","created":"2021-06-02","cited_by_count":1,"area":null},{"id":"2108.06339","title":"Approximation and generalization properties of the random projection classification method","created":"2021-08-11","cited_by_count":1,"area":null},{"id":"2204.05139","title":"On unsupervised projections and second order signals","created":"2022-04-11","cited_by_count":1,"area":null},{"id":"2302.05790","title":"Dimension Reduction and MARS","created":"2023-02-11","cited_by_count":1,"area":null},{"id":"2409.00908","title":"EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification","created":"2024-09-02","cited_by_count":1,"area":null},{"id":"2103.00025","title":"TEC: Tensor Ensemble Classifier for Big Data","created":"2021-02-26","cited_by_count":0,"area":null},{"id":"2106.01858","title":"Statistical embedding: Beyond principal components","created":"2021-06-03","cited_by_count":0,"area":null},{"id":"2112.00300","title":"Invariance principle of random projection for the norm","created":"2021-12-01","cited_by_count":0,"area":null},{"id":"2303.11774","title":"Exact Non-Oblivious Performance of Rademacher Random Embeddings","created":"2023-03-21","cited_by_count":0,"area":null},{"id":"2404.10148","title":"Node Similarities under Random Projections: Limits and Pathological Cases","created":"2024-04-15","cited_by_count":0,"area":null},{"id":"2410.04922","title":"Random-projection ensemble dimension reduction","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2410.12297","title":"Conjunction Subspaces Test for Conformal and Selective Classification","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2411.08849","title":"Oblique Bayesian additive regression trees","created":"2024-11-13","cited_by_count":0,"area":null},{"id":"2503.09651","title":"Bags of Projected Nearest Neighbours: Competitors to Random Forests?","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2503.19306","title":"Centroid Decision Forest","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2604.04087","title":"ArrowFlow: Hierarchical Machine Learning in the Space of Permutations","created":"2026-04-05","cited_by_count":0,"area":null},{"id":"2605.02205","title":"2D Stability Selection: Design Jittering for Doubly Stable Feature Selection","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2609.02155","title":"Exact Limits of Random Projections for Preserving Geometry: Distance Recovery, Nearest-Neighbor Rankings, and Covariance Shape in Gaussian Models","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}