Benito Geordie

According to our database, Benito Geordie authored at least 7 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies.

Shabnam Daghaghi, Benjamin Coleman, Benito Geordie, Anshumali Shrivastava

CoRR, 2023

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks 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, Tharun Medini, Anshumali Shrivastava

CoRR, 2023

From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware.

Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, Pratik Pranav, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

For-Each Operations in Collaborative Apps.

Matthew Weidner, Ria Pradeep, Benito Geordie, Heather Miller

Proceedings of the 10th Workshop on Principles and Practice of Consistency for Distributed Data, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Collabs: Composable Collaborative Data Structures.

Matthew Weidner, Heather Miller, Huairui Qi, Maxime Kjaer, Ria Pradeep, Benito Geordie, Christopher Meiklejohn

CoRR, 2022

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

Proceedings of the International Conference on Machine Learning, 2022