10 citations · 17 across the 5 of their papers we have counts for
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stat.ML2016★ 3 cited
Black-box Importance Sampling
Qiang Liu, Jason D. Lee
Importance sampling is widely used in machine learning and statistics, but its power is limited by the restriction of using simple proposals for which the importance weights can be…
cs.LG2016★ 3 cited
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
Jialei Wang, Jason D. Lee, Mehrdad Mahdavi +2
Sketching techniques have become popular for scaling up machine learning algorithms by reducing the sample size or dimensionality of massive data sets, while still maintaining the…