7 citations · 41 across the 23 of their papers we have counts for
5 papers · 1 filter
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees
Fengzhuo Zhang, Anshoo Tandon, Vincent Y. F. Tan
The Chow-Liu algorithm (IEEE Trans.~Inform.~Theory, 1968) has been a mainstay for the learning of tree-structured graphical models from i.i.d.\ sampled data vectors. Its theoretica…
Distributed Sequential Hypothesis Testing With Zero-Rate Compression
Sadaf Salehkalaibar, Vincent Y. F. Tan
In this paper, we consider sequential testing over a single-sensor, a single-decision center setup. At each time instant , the sensor gets samples and describes the…
Robustifying Algorithms of Learning Latent Trees with Vector Variables
Fengzhuo Zhang, Vincent Y. F. Tan
We consider learning the structures of Gaussian latent tree models with vector observations when a subset of them are arbitrarily corrupted. First, we present the sample complexiti…
Adversarially-Trained Nonnegative Matrix Factorization
Ting Cai, Vincent Y. F. Tan, Cédric Févotte
We consider an adversarially-trained version of the nonnegative matrix factorization, a popular latent dimensionality reduction technique. In our formulation, an attacker adds an a…
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
Anshoo Tandon, Aldric H. J. Yuan, Vincent Y. F. Tan
We consider learning Ising tree models when the observations from the nodes are corrupted by independent but non-identically distributed noise with unknown statistics. Katiyar et a…