Publications

A curated list of publications across probabilistic machine learning, Bayesian modeling, GFlowNets, causal discovery, and trustworthy AI.

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2014

Large-scale distributed locality-sensitive hashing for general metric data

1 January 2014·238 words

Eliezer De Souza Da Silva Thiago Teixeira George Teodoro Eduardo Valle Publication Conference SISAP Locality Sensitive Hashing Probabilistic Data Structures

A distributed-memory approach for Locality-Sensitive Hashing (LSH) that generalizes to metric spaces using Voronoi diagrams and enables efficient large-scale similarity search.

SISAP 2014