Accelerated low-rank updates to tensor decompositions. - Muthu Manikandan Baskaran; Matthew Harper Langston; Tahina Ramananandro; David Bruns-Smith; Tom Henretty; James R. Ezick; Richard Lethin (HPEC, 2016)

Memory-efficient parallel tensor decompositions. - Muthu Manikandan Baskaran; Tom Henretty; Benoît Pradelle; Matthew Harper Langston; David Bruns-Smith; James R. Ezick; Richard Lethin (HPEC, 2017)

A quantitative and qualitative analysis of tensor decompositions on spatiotemporal data. - Tom Henretty; Muthu Manikandan Baskaran; James R. Ezick; David Bruns-Smith; Tyler A. Simon (HPEC, 2017)

FPGA Accelerated INDEL Realignment in the Cloud. - Lisa Wu 001; David Bruns-Smith; Frank A. Nothaft; Qijing Huang 001; Sagar Karandikar; Johnny Le; Andrew Lin; Howard Mao; Brendan Sweeney; Krste Asanovic; David A. Patterson 001; Anthony D. Joseph (HPCA, 2019)

Enhancing Network Visibility and Security through Tensor Analysis. - Muthu Manikandan Baskaran; Thomas Henretty; James R. Ezick; Richard Lethin; David Bruns-Smith (Future Gener. Comput. Syst., 2019)

Genesis: A Hardware Acceleration Framework for Genomic Data Analysis. - Tae Jun Ham; David Bruns-Smith; Brendan Sweeney; Yejin Lee 001; Seong Hoon Seo; U. Gyeong Song; Young H. Oh; Krste Asanovic; Jae W. Lee; Lisa Wu Wills (ISCA, 2020)

Model-Free and Model-Based Policy Evaluation when Causality is Uncertain. - David Bruns-Smith (ICML, 2021)

Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework. - Tae Jun Ham; Yejin Lee 001; Seong Hoon Seo; U. Gyeong Song; Jae W. Lee; David Bruns-Smith; Brendan Sweeney; Krste Asanovic; Young H. Oh; Lisa Wu Wills (IEEE Micro, 2021)

Outcome Assumptions and Duality Theory for Balancing Weights. - David A. Bruns-Smith; Avi Feller (AISTATS, 2022)

Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks. - David Bruns-Smith; Avi Feller; Emi Nakamura (FAccT, 2023)

Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders. - David Bruns-Smith; Angela Zhou (CoRR, 2023)

Augmented balancing weights as linear regression. - David Bruns-Smith; Oliver Dukes; Avi Feller; Elizabeth L. Ogburn (CoRR, 2023)