Research

The following is a list of selected papers that highlight my recent research.
Click here for a full list of publications and preprints.

Comparing Sequential Forecasters

We develop anytime-valid inference methods for estimating & testing the time-varying mean score difference between two sequential forecasters. Published in Operations Research.

Counterfactually Comparing Abstaining Classifiers

We develop a statistical inference approach for counterfactually evaluating and comparing abstaining classifiers using nonparametric causal inference. Published in NeurIPS.

Combining Evidence Across Filtrations Using Adjusters

We address an intriguing challenge for anytime-valid sequential inference that arises when combining evidence processes constructed using different information sets. Under review.

The Linear Representation Hypothesis and the Geometry of LLMs

We formalize different notions of linear representations in LLMs (e.g., linear probes and steering vectors) and unify those notions by identifying an inner product that encodes semantic structure. Published in ICML 2024. (Figure courtesy: Kiho Park)

The Geometry of Categorical and Hierarchical Concepts in LLMs

Building upon our recent work, we formalize the representations of categorical concepts in LLMs as convex polytopes and further show that hierarchical relations between concepts are represented as orthogonality. Under Review. (Figure courtesy: Kiho Park)