An Introduction to Johnson-Lindenstrauss Transforms

28 February 2021

Papers citing "An Introduction to Johnson-Lindenstrauss Transforms"

9 / 9 papers shown

Title
MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation Shuo Yu Mingyue Cheng Daoyu Wang Qi Liu Zirui Liu Ze Guo Xiaoyu Tao 0 0 0 09 Oct 2025
FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection Mohammad Hasan Narimani Mostafa Tavassolipour 28 0 0 12 Sep 2025
Graph Random Features for Scalable Gaussian Processes Matthew Zhang J. Lin K. Choromanski Adrian Weller Richard Turner Isaac Reid 39 1 0 03 Sep 2025
The Blessing and Curse of Dimensionality in Safety Alignment R. Teo Laziz U. Abdullaev Tan M. Nguyen 109 2 0 27 Jul 2025
A Practical and Secure Byzantine Robust Aggregator De Zhang Lee Aashish Kolluri P. Saxena Ee-Chien Chang AAML FedML 121 0 0 29 Jun 2025
Replicable Learning of Large-Margin HalfspacesInternational Conference on Machine Learning (ICML), 2024 Alkis Kalavasis Amin Karbasi Kasper Green Larsen Grigoris Velegkas Felix Y. Zhou 103 10 0 21 Feb 2024
An Analysis of the Johnson-Lindenstrauss Lemma with the Bivariate Gamma Distribution Jason Bernstein Alec M. Dunton Benjamin W. Priest 149 0 0 26 May 2023
Exact Non-Oblivious Performance of Rademacher Random Embeddings Maciej Skorski Alessandro Temperoni 136 0 0 21 Mar 2023
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search Patrick H. Chen Wei-Cheng Chang Hsiang-Fu Yu Inderjit S. Dhillon Cho-Jui Hsieh 69 22 0 22 Jun 2022