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1
Topics on Machine Learning Under Imperfect Supervision.
Topics on Machine Learning Under Imperfect Supervision.
Yuan, Gan.Statistics. | Columbia University. | 2024
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2
Statistically Efficient Methods for Computation-Aware Uncertainty Quantification and Rare-Event Optimization.
Statistically Efficient Methods for Computation-Aware Uncertainty Quantification and Rare-Event Optimization.
He, Shengyi.Operations Research. | Columbia University. | 2024
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3
Statistically and Computationally Efficient Resampling and Distributionally Robust Optimization with Applications.
Statistically and Computationally Efficient Resampling and Distributionally Robust Optimization with Applications.
Liu, Zhenyuan.Operations Research. | Columbia University. | 2024
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4
Low Dimensional Structure in Single Cell Data.
Low Dimensional Structure in Single Cell Data.
Kunes, Russell Allen Zhang.Statistics. | Columbia University. | 2024
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5
Nonparametric Methods for Measuring Conditional Dependence, Multi-Sample Dissimilarity, and Testing for Symmetry.
Nonparametric Methods for Measuring Conditional Dependence, Multi-Sample Dissimilarity, and Testing for Symmetry.
Huang, Zhen.Statistics. | Columbia University. | 2024
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6
Application of Distance Covariance to Time Series Modeling and Assessing Goodness-of-Fit.
Application of Distance Covariance to Time Series Modeling and Assessing Goodness-of-Fit.
Fernandes, Leon.Statistics. | Columbia University. | 2024
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7
Advances in Non-stationary Sequential Decision-Making.
Advances in Non-stationary Sequential Decision-Making.
Suk, Joseph.Statistics. | Columbia University. | 2024
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8
Three Essays in Applied Microeconomics and Behavioral Economics.
Three Essays in Applied Microeconomics and Behavioral Economics.
Campbell, Zakary.Economics. | Columbia University. | 2024
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9
On Modeling Spatial Time-to-Event Data With Missing Censoring Type.
On Modeling Spatial Time-to-Event Data With Missing Censoring Type.
Lu, Diane.Statistics. | Columbia University. | 2024
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10
Trade-Offs and Opportunities in High-Dimensional Bayesian Modeling.
Trade-Offs and Opportunities in High-Dimensional Bayesian Modeling.
Cademartori, Collin Andrew.Statistics. | Columbia University. | 2024
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