300 citations · 1.5k across the 38 of their papers we have counts for
4 papers · 1 filter
Stream Clipper: Scalable Submodular Maximization on Stream
Tianyi Zhou, Jeff Bilmes
We propose a streaming submodular maximization algorithm "stream clipper" that performs as well as the offline greedy algorithm on document/video summarization in practice. It adds…
Divide-and-Conquer Learning by Anchoring a Conical Hull
Tianyi Zhou, Jeff Bilmes, Carlos Guestrin
We reduce a broad class of machine learning problems, usually addressed by EM or sampling, to the problem of finding the extremal rays spanning the conical hull of a data point…
Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition
Tianyi Zhou, Dacheng Tao
Learning big data by matrix decomposition always suffers from expensive computation, mixing of complicated structures and noise. In this paper, we study more adaptive models and ef…
Bilateral Random Projections
Tianyi Zhou, Dacheng Tao
Low-rank structure have been profoundly studied in data mining and machine learning. In this paper, we show a dense matrix 's low-rank approximation can be rapidly built from it…