Aviral Shrivastava

activity

20182023

most citedHardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights

109 citations · 114 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.LG2023★ 1 cited

GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing

Yi Hu, Chaoran Zhang, Edward Andert +6

Careful placement of a computational application within a target device cluster is critical for achieving low application completion time. The problem is challenging due to its NP-…

cs.LG2018★ 4 cited

Optimizing the Union of Intersections LASSO ( $U o I_{L A S S O}$ ) and Vector Autoregressive ( $U o I_{V A R}$ ) Algorithms for Improved Statistical Estimation at Scale

Mahesh Balasubramanian, Trevor Ruiz, Brandon Cook +4

The analysis of scientific data of increasing size and complexity requires statistical machine learning methods that are both interpretable and predictive. Union of Intersections (…

GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing

Optimizing the Union of Intersections LASSO (UoILASSO​) and Vector Autoregressive (UoIVAR​) Algorithms for Improved Statistical Estimation at Scale

Optimizing the Union of Intersections LASSO ( $U o I_{L A S S O}$ ) and Vector Autoregressive ( $U o I_{V A R}$ ) Algorithms for Improved Statistical Estimation at Scale