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Alumni
Visit Stanford University Libraries to search for the PhD dissertations of our graduates.
Graduation Year
Student
Dissertation
Advisor
Committee Members
Towards Modern Datasets: Laying Mathematical Foundations to Streamline Machine Learning
Duchi/Montanari
Candes
Detecting and Measuring Important Variables: Novel Methods with Statistical Guarantees
Sabatti
Candes, Hastie, Palacios
Scalable Statistical Models for Personalized Recommendation: Incorporating Random Slopes and Latent Structure
Hastie
Taylor, Owen
Topics in Multivariate Time Series Evaluation and Forecasting
Hong (Econ)
Lai, Romano, Fox, Taylor
Experimental Design Methods for Treatment Effect Estimation Under Constraints
Owen
Rothenhaeusler, Baiocchi
Statistical Advances in Synthetic Data Generation and Longitudinal Analysis
Tian
Taylor, Efron
Fast and Scalable Solvers for Penalized Regression with Sparsity
Hastie
Taylor, Rothenhaeusler
Coalescent Structures and Their Generalizations
Palacios
Rosenberg (Bio), Sabatti, Walther
Applications of Data Fission: Spatial Estimation and Model-free Selective Inference
Taylor
Switzer, Tibshirani
Topics on Finite-sample Valid Inference and the Finite Population Bootstrap
Candes/Walther
Taylor
Modern Statistical Methodology for Generalizable and Trustworthy Inference
Candes/Rothenhaeusler
Owen
Methods for Causal Inference with Limited or No Overlap
Ugander (MSE)
Owen, Rothenhaeusler
Topics in Data Fusion with Applications to Agriculture
Owen/Lobell (Earth System Science)
Switzer
Super-polynomial Accuracy of Randomized Nets Using the Median-of-means
Owen
Chatterjee, Schramm
Computational and Informational Limits in High-dimensional Statistical Problems
Montanari
Candes, Dembo
Estimation and Testing Methods for Causal Inference with Interference
Imbens (Econ) / Ugander (MSE)
Owen
Learning with Neural Networks in High Dimensions
Montanari
Donoho, Johnstone
On Some Topics in Statistical Learning: Cluster-Aware Lasso & Others
Tibshirani
Hastie, Palacios
Stability of Solutions of Random Optimization Problems Under Small Perturbations
Chatterjee
Dembo, Diaconis
Applications of Cooperative Game Theory to Interpretable Machine Learning
Owen
Palacios, Taylor
Some applications of graph limits in probability and statistics
Chatterjee
Montanari, Dembo
Confident and reliable statistical predictions in changing environments
Duchi
Candes, Liang (CS)
Applications of Machine Learning to Some Statistical Inference Problems
Hastie
Tibshirani, Wager
Scalable Inference for Crossed Random Effects Models
Owen/Hastie
Hastie, Linderman, Athey (GSB)
Reliability and stability in statistical and machine learning problems
Duchi
Candes, Donoho, Rothenhaeusler
Causal and Selective Inference in Complex Statistical Models
Candes/Wager (GSB)
Hastie
Topics in multiple hypothesis testing and robustification of estimators through causal inference methods
Zou (BDS)
Candes, Owen
Phase Transitions of Disordered Systems and High Dimensional Inference
Dembo
Chatterjee, Montanari
Advances in multivariate statistics and its applications
Hastie
Tibshirani, Segal (UCSF)
Applied Statistical Methods for High-Dimensional Generalized Linear Models
Candes
Montanari, Taylor