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02/25/2023
On Bellman's principle of optimality and Reinforcement learning for safety-constrained Markov decision process
We study optimality for the safety-constrained Markov decision process w...
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12/30/2022
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models
In this paper we derive a PAC-Bayesian-Like error bound for a class of s...
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09/16/2022
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation
Privacy has become a major concern in machine learning. In fact, the fed...
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02/02/2022
Investigation of Alternative Measures for Mutual Information
Mutual information I(X;Y) is a useful definition in information theory t...
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09/06/2021
Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems
In this short article, we showcase the derivation of an optimal predicto...
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03/23/2021
