Publications

May 2025 The 42nd International Conference on Machine Learning (ICML 2025)

Leveraging Free Energy in Pretraining Model Selection for Improved Fine-Tuning

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May 2025 The 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025)

Temperature Optimization for Bayesian Deep Learning

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May 2025 The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025)

The Local Learning Coefficient: A Singularity-Aware Complexity Measure

A prior version of this work was released on arXiv under a different title and focused more heavily on the mathematical underpinnings.

PDF OpenReview arXiv (Version 1) Code
September 2024 Australasian Joint Conference on Artificial Intelligence (AJCAI) 2024

Pathwise Gradient Variance Reduction with Control Variates in Variational Inference

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March 2024 The Twelfth International Conference on Learning Representations

Interventional Fairness on Partially Known Causal Graphs -- A Constrained Optimization Approach

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February 2024 Arxiv

The Developmental Landscape of In-Context Learning

Received a best papers award at ICML 2024 Workshop on High-dimensional Learning Dynamics (HiLD): The Emergence of Structure and Reasoning

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October 2023 Arxiv

Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

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February 2023 Journal of Computational and Graphical Statistics

Variational Bayesian Neural Networks via Resolution of Singularities

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December 2022 IEEE Transactions on Neural Networks and Learning Systems

Deep Learning is Singular, and That's Good

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December 2022 Advances in Neural Information Processing Systems 36

Counterfactual Fairness with Partially Known Causal Graph

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July 2022 BMC Bioinformatics

Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics

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October 2021 Stat Anal Data Min: The ASA Data Sci Journal

The Fairness-Accuracy Pareto Front

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December 2020 Advances in Neural Information Processing Systems 33

A Shooting Formulation of Deep Learning

Selected for oral presentation

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January 2020 arXiv preprint arXiv:2008.09289

Automating the assessment of biofouling in images using expert agreement as a gold standard

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October 2018 Biometrika

The Change-Plane Cox Model

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February 2018 Electronic Journal of Statistics

Empirical Evolution Equations

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January 2018 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

Reinforcement-learning optimal control for type-1 diabetes

January 2018 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)

Controlling Blood Glucose Levels In Patients With Type 1 Diabetes Using Fitted Q-Iterations And Functional Features

January 2018 Computational and mathematical methods in medicine

Control of blood glucose for type-1 diabetes by using reinforcement learning with feedforward algorithm

January 2018 Journal of nutrition education and behavior

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

January 2017 WILEY

Statistical Scale Space Methods

January 2017 Journal of School Health

School breakfast program participation and rural adolescents' purchasing behaviors in food stores and restaurants

January 2017 Springer US

Mobile monitoring of traumatic brain injury in older adults: challenges and opportunities

May 2016 Journal of Computational and Graphical Statistics

Direction-Projection-Permutation for High-Dimensional Hypothesis Tests

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September 2013 Journal of the American Statistical Association

Latent Supervised Learning

Selected as JASA Featured Article

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January 2012 Histopathology

Image and statistical analysis of melanocytic histology

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January 2011

Discussion of “Adaptive Confidence Intervals for the Test Error in Classification”, by EB Laber and SA Murphy

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