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1
Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
Li, Can.Chemical Engineering. | Carnegie Mellon University. | 2021
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2
Mean Field Methods for Stochastic Control and Optimization Problems.
Mean Field Methods for Stochastic Control and Optimization Problems.
Hui, Yue. | Stanford University. | 2021
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3
Optimization in the Space of Measures: New Techniques from Optimal Transport.
Optimization in the Space of Measures: New Techniques from Optimal Transport.
Kent, Carson Richard. | Stanford University. | 2021
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4
Uniqueness for Continuous Superresolution by Means of Choquet Theory and Geometric Measure Theory.
Uniqueness for Continuous Superresolution by Means of Choquet Theory and Geometric Measure Theory.
Cinoman, Ryan M.Mathematics. | University of Maryland, College Park. | 2021
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5
Safety Enhanced Designs in UAS Risk Monitoring and Collision Resolution.
Safety Enhanced Designs in UAS Risk Monitoring and Collision Resolution.
Wang, Weichang.Electrical Engineering. | Arizona State University. | 2021
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6
Designing Scheduling Algorithms via a Mathematical Perspective.
Designing Scheduling Algorithms via a Mathematical Perspective.
Davies, Sami.Mathematics. | University of Washington. | 2021
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7
Mathematical Modeling in Dairy Cattle - Nonlinear Ration Formulation, Thermal Balance, Emission and Excretion Models.
Mathematical Modeling in Dairy Cattle - Nonlinear Ration Formulation, Thermal Balance, Emission and Excretion Models.
Li, Jinghui.Animal Biology. | University of California, Davis. | 2021
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8
Making Bayesian Optimization Practical in the Context of High Dimensional, Highly Expensive, Black­Box Functions.
Making Bayesian Optimization Practical in the Context of High Dimensional, Highly Expensive, Black­Box Functions.
Mathesen, Logan.Industrial Engineering. | Arizona State University. | 2021
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9
Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning.
Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning.
Xu, Kaidi.Electrical and Computer Engineering. | Northeastern University. | 2021
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10
Upper Tails of Subgraph Counts in Sparse Regular Graphs.
Upper Tails of Subgraph Counts in Sparse Regular Graphs.
Gunby, Benjamin.Mathematics. | Harvard University. | 2021
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