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Vincent Y. F. Tan

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • cs.IT1
  • stat.AP1
  • stat.ML1
ORCID 0000-0002-5008-4527

identity via Semantic Scholar / OpenAlex

most citedEstimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm

52 citations · 81 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ML2010★ 24 cited

Learning Latent Tree Graphical Models

Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar +1

We study the problem of learning a latent tree graphical model where samples are available only from a subset of variables. We propose two consistent and computationally efficient…

cs.IT2010★ 5 cited

Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates

Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky

The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshold…

stat.AP2008★ 52 cited

Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm

Vincent Y. F. Tan, Vivek K. Goyal

As an example of the recently-introduced concept of rate of innovation, signals that are linear combinations of a finite number of Diracs per unit time can be acquired by linear fi…

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