Ashish Katiyar — accepted AI-conference papers

2022

Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise

Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis

AISTATS 2022poster

We study the problem of learning tree-structured Markov random fields (MRF) on discrete random variables with common support when the observations are corrupted by a k-ary symmetric noise channel with unknown probability of error. For Ising models (support size = 2), past work has shown that graph s…

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2019

Robust Estimation of Tree Structured Gaussian Graphical Models

Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis

ICML 2019oral

Consider jointly Gaussian random variables whose conditional independence structure is specified by a graphical model. If we observe realizations of the variables, we can compute the covariance matrix, and it is well known that the support of the inverse covariance matrix corresponds to the edges of…

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