The goal of this proposal is to develop new algorithms for stochastic optimization problems, such as those arising in machine learning, statistics and black-box simulations. It consists of three interrelated projects encompassing algorithm design, convergence analysis, and numerical testing on realistic applications.
|Effective start/end date||8/1/20 → 7/31/23|
- National Science Foundation (DMS-2011494)
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