Benjamin Coleman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
9
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ECIR | Down with the Hierarchy: The 'H' in HNSW Stands for "Hubs". | Blaise Munyampirwa, Vihan Lakshman, Benjamin Coleman |
| 2026 | SIGIR | Multi-Agentic Recommender Systems: Foundations, Perspectives, and Lessons from Large Scale Deployments in eCommerce. | Reza Yousefi Maragheh, Yashar Deldjoo, Benjamin Coleman, Jason Cho, Chi Wang |
| 2024 | RecSys | Improving Data Efficiency for Recommenders and LLMs. | Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng |
| 2023 | CIKM | BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware. | Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain, Tharun Medini, Anshumali Shrivastava |
| 2023 | RecSys | Efficient Data Representation Learning in Google-scale Systems. | Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi |
| 2022 | ICML | One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams. | Benjamin Coleman, Benito Geordie, Li Chou, Ryan A. Leo Elworth, Todd J. Treangen, Anshumali Shrivastava |
| 2021 | AAAI | Revisiting Consistent Hashing with Bounded Loads. | John Chen, Benjamin Coleman, Anshumali Shrivastava |
| 2021 | CCS | A One-Pass Distributed and Private Sketch for Kernel Sums with Applications to Machine Learning at Scale. | Benjamin Coleman, Anshumali Shrivastava |
| 2021 | SIGMOD | Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO). | Gaurav Gupta, Minghao Yan, Benjamin Coleman, Bryce Kille, Ryan A. Leo Elworth, Tharun Medini, Todd J. Treangen, Anshumali Shrivastava |
| 2020 | ICML | Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data. | Benjamin Coleman, Richard G. Baraniuk, Anshumali Shrivastava |
| 2020 | WWW | Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data. | Benjamin Coleman, Anshumali Shrivastava |