Coleman, Benjamin

9 publications

NeurIPS 2023 DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava

NeurIPS 2023 One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava

NeurIPS 2023 Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed Chi, Derek Cheng

NeurIPS 2022 Graph Reordering for Cache-Efficient near Neighbor Search Benjamin Coleman, Santiago Segarra, Alexander J Smola, Anshumali Shrivastava

ICML 2022 One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams Benjamin Coleman, Benito Geordie, Li Chou, R. A. Leo Elworth, Todd Treangen, Anshumali Shrivastava

NeurIPS 2022 Retaining Knowledge for Learning with Dynamic Definition Zichang Liu, Benjamin Coleman, Tianyi Zhang, Anshumali Shrivastava

NeurIPS 2021 Practical near Neighbor Search via Group Testing Joshua Engels, Benjamin Coleman, Anshumali Shrivastava

AAAI 2021 Revisiting Consistent Hashing with Bounded Loads John Chen, Benjamin Coleman, Anshumali Shrivastava

ICML 2020 Sub-Linear Memory Sketches for near Neighbor Search on Streaming Data Benjamin Coleman, Richard Baraniuk, Anshumali Shrivastava