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David Bruns-Smith
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2020 – today
- 2023
- [c8]David Bruns-Smith, Avi Feller, Emi Nakamura:
Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks. FAccT 2023: 1747-1756 - [i4]David Bruns-Smith, Angela Zhou:
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders. CoRR abs/2302.00662 (2023) - [i3]David Bruns-Smith, Oliver Dukes, Avi Feller, Elizabeth L. Ogburn:
Augmented balancing weights as linear regression. CoRR abs/2304.14545 (2023) - 2022
- [c7]David A. Bruns-Smith, Avi Feller:
Outcome Assumptions and Duality Theory for Balancing Weights. AISTATS 2022: 11037-11055 - [i2]David Bruns-Smith, Avi Feller:
Outcome Assumptions and Duality Theory for Balancing Weights. CoRR abs/2203.09557 (2022) - [i1]David Bruns-Smith:
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain. CoRR abs/2204.00956 (2022) - 2021
- [j2]Tae Jun Ham, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Jae W. Lee, David Bruns-Smith, Brendan Sweeney, Krste Asanovic, Young H. Oh, Lisa Wu Wills:
Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework. IEEE Micro 41(3): 42-49 (2021) - [c6]David Bruns-Smith:
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain. ICML 2021: 1116-1126 - 2020
- [c5]Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, Lisa Wu Wills:
Genesis: A Hardware Acceleration Framework for Genomic Data Analysis. ISCA 2020: 254-267
2010 – 2019
- 2019
- [j1]Muthu Manikandan Baskaran, Thomas Henretty, James R. Ezick, Richard Lethin, David Bruns-Smith:
Enhancing Network Visibility and Security through Tensor Analysis. Future Gener. Comput. Syst. 96: 207-215 (2019) - [c4]Lisa Wu, David Bruns-Smith, Frank A. Nothaft, Qijing Huang, Sagar Karandikar, Johnny Le, Andrew Lin, Howard Mao, Brendan Sweeney, Krste Asanovic, David A. Patterson, Anthony D. Joseph:
FPGA Accelerated INDEL Realignment in the Cloud. HPCA 2019: 277-290 - 2017
- [c3]Muthu Manikandan Baskaran, Tom Henretty, Benoît Pradelle, Matthew Harper Langston, David Bruns-Smith, James R. Ezick, Richard Lethin:
Memory-efficient parallel tensor decompositions. HPEC 2017: 1-7 - [c2]Tom Henretty, Muthu Manikandan Baskaran, James R. Ezick, David Bruns-Smith, Tyler A. Simon:
A quantitative and qualitative analysis of tensor decompositions on spatiotemporal data. HPEC 2017: 1-7 - 2016
- [c1]Muthu Manikandan Baskaran, Matthew Harper Langston, Tahina Ramananandro, David Bruns-Smith, Tom Henretty, James R. Ezick, Richard Lethin:
Accelerated low-rank updates to tensor decompositions. HPEC 2016: 1-7
Coauthor Index
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