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stat.ML2026

Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings

Jenny Y. Huang, Yunyi Shen, Dennis Wei +1

We propose a method for evaluating the robustness of widely used LLM ranking systems -- variants of a Bradley--Terry model -- to dropping a worst-case very small fraction of prefer…

stat.ML2025

Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association

David R. Burt, Renato Berlinghieri, Stephen Bates +1

Estimating associations between spatial covariates and responses - rather than merely predicting responses - is central to environmental science, epidemiology, and economics. For i…

stat.ML2025

Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End

Renato Berlinghieri, Yunyi Shen, Jialong Jiang +1

Scientists often want to make predictions beyond the observed time horizon of "snapshot" data following latent stochastic dynamics. For example, in time course single-cell mRNA pro…

stat.ML2025

Multi-marginal Schrödinger Bridges with Iterative Reference Refinement

Yunyi Shen, Renato Berlinghieri, Tamara Broderick

Practitioners often aim to infer an unobserved population trajectory using sample snapshots at multiple time points. E.g., given single-cell sequencing data, scientists would like…

stat.ML2025

Consistent Validation for Predictive Methods in Spatial Settings

David R. Burt, Yunyi Shen, Tamara Broderick

Spatial prediction tasks are key to weather forecasting, studying air pollution impacts, and other scientific endeavors. Determining how much to trust predictions made by statistic…