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06/22/2022
Diversity Subsampling: Custom Subsamples from Large Data Sets
Subsampling from a large data set is useful in many supervised learning ...
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12/28/2021
A Near-Optimal Finite Approximation Approach for Computing Stationary Distribution and Performance Measures of Continuous-State Markov Chains
Analysis and use of stochastic models represented by a discrete-time Mar...
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08/13/2019
Distributionally Robust Optimization: A Review
The concepts of risk-aversion, chance-constrained optimization, and robu...
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01/02/2018