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stat.ML2021
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise
Ashish Katiyar, Soumya Basu, Vatsal Shah +1
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 -ary symmet…
stat.ML2020
On Generalization of Adaptive Methods for Over-parameterized Linear Regression
Vatsal Shah, Soumya Basu, Anastasios Kyrillidis +1
Over-parameterization and adaptive methods have played a crucial role in the success of deep learning in the last decade. The widespread use of over-parameterization has forced us…