Search Results for author:
Found 2 papers, 1 papers with code
Cost-aware Generalized $α$-investing for Multiple Hypothesis Testing
We extend cost-aware ERO investing to finite-horizon testing which enables the decision rule to allocate samples in a non-myopic manner.
MAP Clustering under the Gaussian Mixture Model via Mixed Integer Nonlinear Optimization
We present a global optimization approach for solving the maximum a-posteriori (MAP) clustering problem under the Gaussian mixture model. Our approach can accommodate side constraints and it preserves the combinatorial structure of the MAP clustering problem by formulating it asa mixed-integer nonlinear optimization problem (MINLP).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
