519 citations · 726 across the 9 of their papers we have counts for
4 papers · 1 filter
Cost-Sensitive Tree of Classifiers
Zhixiang Xu, Matt J. Kusner, Kilian Q. Weinberger +1
Recently, machine learning algorithms have successfully entered large-scale real-world industrial applications (e.g. search engines and email spam filters). Here, the CPU cost duri…
Distance Metric Learning for Kernel Machines
Zhixiang Xu, Kilian Q. Weinberger, Olivier Chapelle
Recent work in metric learning has significantly improved the state-of-the-art in k-nearest neighbor classification. Support vector machines (SVM), particularly with RBF kernels, a…
The Greedy Miser: Learning under Test-time Budgets
Zhixiang Xu, Kilian Weinberger, Olivier Chapelle
As machine learning algorithms enter applications in industrial settings, there is increased interest in controlling their cpu-time during testing. The cpu-time consists of the run…
Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen, Zhixiang Xu, Kilian Weinberger +1
Stacked denoising autoencoders (SDAs) have been successfully used to learn new representations for domain adaptation. Recently, they have attained record accuracy on standard bench…