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08/19/2023
Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels
We consider the problem of lower bounding the error probability under th...
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07/15/2023
Identifying Direct Causes using Intervened Target Variable
Identifying the direct causes or causal parents of a target variable is ...
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10/11/2022
Block Format Error Bounds and Optimal Block Size Selection
The amounts of data that need to be transmitted, processed, and stored b...
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06/29/2022
Lower Bounds on the Error Probability for Invariant Causal Prediction
It is common practice to collect observations of feature and response pa...
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06/05/2020
Reliable Covariance Estimation
Covariance or scatter matrix estimation is ubiquitous in most modern sta...
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06/10/2018
Stationary Geometric Graphical Model Selection
We consider the problem of model selection in Gaussian Markov fields in ...
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02/12/2018
Region Detection in Markov Random Fields: Gaussian Case
In this work we consider the problem of model selection in Gaussian Mark...
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11/20/2015
Joint Inverse Covariances Estimation with Mutual Linear Structure
We consider the problem of joint estimation of structured inverse covari...
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04/07/2014
Tyler's Covariance Matrix Estimator in Elliptical Models with Convex Structure
We address structured covariance estimation in elliptical distributions ...
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06/18/2013