Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations

Author:

Qin Lianke1,Reddy Aravind2,Song Zhao3,Xu Zhaozhuo4,Zhuo Danyang5

Affiliation:

1. University of California, Santa Barbara,Department of Computer Science,Santa Barbara,CA

2. Northwestern University,Department of Computer Science,Evanston,IL

3. Adobe Research Adobe,San Jose,CA

4. Rice University,Department of Computer Science,Houston,TX

5. Duke University,Department of Computer Science,Durham,NC

Publisher

IEEE

Reference44 articles.

1. A kernel density estimation method for networks, its computational method and a GIS‐based tool

2. A nearly-linear time algorithm for linear programs with small treewidth: a multiscale representation of robust central path

3. Deann: Speeding up kernel-density estimation using approximate nearest neighbor search;karppa;AISTATS,2022

4. Does preprocessing help training over-parameterized neural networks?;song;NIPS,2021

5. Flows for simultaneous manifold learning and density estimation;brehmer;NIPS,2020

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1. Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. Online Adaptive Mahalanobis Distance Estimation;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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