johnson-lindenstrauss transform

Improving TensorSketch Using Complex Random Variables UAI 2026 Private Model Personalization Revisited ICML 2025 QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead AAAI 2025 Sparse Dimensionality Reduction Revisited ICML 2024 On a Connection Between Fast and Sparse Oblivious Subspace Embeddings AISTATS 2022 Johnson-Lindenstrauss Transforms with Best Confidence COLT 2021 Tensorized Random Projections AISTATS 2020 Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019 Old Techniques in Differentially Private Linear Regression ALT 2019 Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves NeurIPS 2019 Understanding Sparse JL for Feature Hashing NeurIPS 2019 Approximate Nearest Neighbors in Limited Space COLT 2018 Differentially Private Ordinary Least Squares ICML 2017 Sparse Randomized Partition Trees for Nearest Neighbor Search AISTATS 2017 The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings NeurIPS 2017