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Bo Dai

3 papers hereh-index 5190 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.ML1
same name
  • Bo Dai — 95 papers, h 50
  • Bo Dai — 44 papers, h 36
  • Bo Dai — 19 papers, h 9
  • Bo Dai — 12 papers, h 4
  • Bo Dai — 12 papers, h 6
  • Bo Dai — 9 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112014
most citedInformation-theoretic Semi-supervised Metric Learning via Entropy Regularization

19 citations · 21 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2014

Transductive Learning with Multi-class Volume Approximation

Gang Niu, Bo Dai, Marthinus Christoffel du Plessis +1

Given a hypothesis space, the large volume principle by Vladimir Vapnik prioritizes equivalence classes according to their volume in the hypothesis space. The volume approximation…

cs.LG2012★ 19 cited

Information-theoretic Semi-supervised Metric Learning via Entropy Regularization

Gang Niu, Bo Dai, Makoto Yamada +1

We propose a general information-theoretic approach called Seraph (SEmi-supervised metRic leArning Paradigm with Hyper-sparsity) for metric learning that does not rely upon the man…

stat.ML2011★ 2 cited

SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity

Gang Niu, Bo Dai, Makoto Yamada +1

We propose a general information-theoretic approach called Seraph (SEmi-supervised metRic leArning Paradigm with Hyper-sparsity) for metric learning that does not rely upon the man…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.