83 citations · 153 across the 12 of their papers we have counts for
12 papers
Spectral Clustering for Crowdsourcing with Inherently Distinct Task Types
Saptarshi Mandal, Seo Taek Kong, Dimitrios Katselis +1
The Dawid-Skene model is the most widely assumed model in the analysis of crowdsourcing algorithms that estimate ground-truth labels from noisy worker responses. In this work, we a…
On Concentration Inequalities for Vector-Valued Lipschitz Functions
Dimitrios Katselis, Xiaotian Xie, Carolyn L. Beck +1
We derive two upper bounds for the probability of deviation of a vector-valued Lipschitz function of a collection of random variables from its expected value. The resulting upper b…
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification
Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck +1
We consider the problem of identifying parameters of a particular class of Markov chains, called Bernoulli Autoregressive (BAR) processes. The structure of any BAR model is encoded…
Mixing Times and Structural Inference for Bernoulli Autoregressive Processes
Dimitrios Katselis, Carolyn L. Beck, R. Srikant
We introduce a novel multivariate random process producing Bernoulli outputs per dimension, that can possibly formalize binary interactions in various graphical structures and can…
A systematic optimization approach for a class of statistical inference problems utilizing data augmentation
Rodrigo Carvajal, Rafael Orellana, Dimitrios Katselis +2
We present an algorithm for a class of statistical inference problems. The main idea is to reformulate the inference problem as an optimization procedure, based on the generation o…
A MAP approach for -norm regularized sparse parameter estimation using the EM algorithm
Rodrigo Carvajal, Juan C. Agüero, Boris I. Godoy +1
In this paper, Bayesian parameter estimation through the consideration of the Maximum A Posteriori (MAP) criterion is revisited under the prism of the Expectation-Maximization (EM)…