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1
Machine Learning and Statistical Approaches for Efficient Disease Screening.
Machine Learning and Statistical Approaches for Efficient Disease Screening.
Landolfi, Nicholas Charles. | Stanford University. | 2024
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2
Sparsification, Online Optimization, and an Almost-Linear Time Algorithm for Maximum Flow- [electronic resource]
Sparsification, Online Optimization, and an Almost-Linear Time Algorithm for Maximum Flow- [electronic resource]
Liu, Yang. | Stanford University. | 2023
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3
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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4
Neural Network Verification for Nonlinear Systems.
Neural Network Verification for Nonlinear Systems.
Sidrane, Chelsea Rose. | Stanford University. | 2022
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5
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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6
Truncation Algorithms for Markov Chains and Processes.
Truncation Algorithms for Markov Chains and Processes.
Infanger, Alexander GerdDara. | Stanford University. | 2022
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7
Control, Filtering, Learning, and Multi-Robot Algorithms for Large Graph-Based Markov Decision Processes.
Control, Filtering, Learning, and Multi-Robot Algorithms for Large Graph-Based Markov Decision Processes.
Haksar, Ravi N. | Stanford University. | 2020
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8
Distributionally Robust Optimization and Its Applications in Mathematical Finance, Statistics, and Reinforcement Learning.
Distributionally Robust Optimization and Its Applications in Mathematical Finance, Statistics, and Reinforcement Learning.
Zhou, Zhengqing. | Stanford University. | 2021
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