Susan Wei | Susan Wei

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A principled framework for uncertainty decomposition in TabPFN
TabMGP: Martingale posterior with TabPFN
Loss Landscape Degeneracy and Stagewise Development in Transformers
Temperature Optimization for Bayesian Deep Learning
A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
Pathwise Gradient Variance Reduction with Control Variates in Variational Inference
Interventional Fairness on Partially Known Causal Graphs -- A Constrained Optimization Approach
Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition
Variational Bayesian Neural Networks via Resolution of Singularities
Counterfactual Fairness with Partially Known Causal Graph
Deep Learning is Singular, and That's Good
Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics
The Fairness-Accuracy Pareto Front
A Shooting Formulation of Deep Learning
Automating the assessment of biofouling in images using expert agreement as a gold standard
The Change-Plane Cox Model
Empirical Evolution Equations
A low-cost, grab-and-go breakfast intervention for rural high school students: Changes in school breakfast program participation among at-risk students in Minnesota
Control of blood glucose for type-1 diabetes by using reinforcement learning with feedforward algorithm
Controlling Blood Glucose Levels In Patients With Type 1 Diabetes Using Fitted Q-Iterations And Functional Features
Reinforcement-learning optimal control for type-1 diabetes
Mobile monitoring of traumatic brain injury in older adults: challenges and opportunities
School breakfast program participation and rural adolescents' purchasing behaviors in food stores and restaurants
Statistical Scale Space Methods
Direction-Projection-Permutation for High-Dimensional Hypothesis Tests
Latent Supervised Learning
Image and statistical analysis of melanocytic histology
Discussion of “Adaptive Confidence Intervals for the Test Error in Classification”, by EB Laber and SA Murphy