101 citations · 103 across the 4 of their papers we have counts for
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cs.LG2023
Learning the Positions in CountSketch
Yi Li, Honghao Lin, Simin Liu +2
We consider sketching algorithms which first compress data by multiplication with a random sketch matrix, and then apply the sketch to quickly solve an optimization problem, e.g.,…
cs.LG2020★ 1 cited
Learning the Positions in CountSketch
Simin Liu, Tianrui Liu, Ali Vakilian +2
We consider sketching algorithms which first quickly compress data by multiplication with a random sketch matrix, and then apply the sketch to quickly solve an optimization problem…
cs.LG2018★ 101 cited
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Anusha Nagabandi, Ignasi Clavera, Simin Liu +4
Although reinforcement learning methods can achieve impressive results in simulation, the real world presents two major challenges: generating samples is exceedingly expensive, and…