113 citations · 118 across the 3 of their papers we have counts for
3 papers
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…
Warm Starting Bayesian Optimization
Matthias Poloczek, Jialei Wang, Peter I. Frazier
We develop a framework for warm-starting Bayesian optimization, that reduces the solution time required to solve an optimization problem that is one in a sequence of related proble…
Exact Soft Confidence-Weighted Learning
Jialei Wang, Peilin Zhao, Steven C. H. Hoi
In this paper, we propose a new Soft Confidence-Weighted (SCW) online learning scheme, which enables the conventional confidence-weighted learning method to handle non-separable ca…