johnson-lindenstrauss lemma

Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights ICML 2025 Node Similarities under Random Projections: Limits and Pathological Cases ICLR 2025 Quality Measures for Dynamic Graph Generative Models ICLR 2025 Optimization Can Learn Johnson Lindenstrauss Embeddings NeurIPS 2024 The Fast Johnson-Lindenstrauss Transform Is Even Faster ICML 2023 A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs ICLR 2022 Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss NeurIPS 2022 Faster Linear Algebra for Distance Matrices NeurIPS 2022 Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020 Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond NeurIPS 2019 Optimal Bounds for Johnson-Lindenstrauss Transformations JMLR 2018 The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings NeurIPS 2017 Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NeurIPS 2016 Fast Approximation of Matrix Coherence and Statistical Leverage JMLR 2012