3 papers
cs.LG2022
EM's Convergence in Gaussian Latent Tree Models
Yuval Dagan, Constantinos Daskalakis, Anthimos Vardis Kandiros
We study the optimization landscape of the log-likelihood function and the convergence of the Expectation-Maximization (EM) algorithm in latent Gaussian tree models, i.e. tree-stru…
cs.LG2021
Statistical Estimation from Dependent Data
Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala +2
We consider a general statistical estimation problem wherein binary labels across different observations are not independent conditioned on their feature vectors, but dependent, ca…
math.ST2020
Learning Ising models from one or multiple samples
Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala +1
There have been two separate lines of work on estimating Ising models: (1) estimating them from multiple independent samples under minimal assumptions about the model's interaction…