David Bruns-Smith

Orcid: 0009-0000-9863-3882

According to our database1, David Bruns-Smith authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Augmented balancing weights as linear regression.
CoRR, 2023

Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders.
CoRR, 2023

Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022
Outcome Assumptions and Duality Theory for Balancing Weights.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework.
IEEE Micro, 2021

Model-Free and Model-Based Policy Evaluation when Causality is Uncertain.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Genesis: A Hardware Acceleration Framework for Genomic Data Analysis.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019
Enhancing Network Visibility and Security through Tensor Analysis.
Future Gener. Comput. Syst., 2019

FPGA Accelerated INDEL Realignment in the Cloud.
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

2017
A quantitative and qualitative analysis of tensor decompositions on spatiotemporal data.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Memory-efficient parallel tensor decompositions.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

2016
Accelerated low-rank updates to tensor decompositions.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016


  Loading...