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Geelon So

PhD student, Computer Science and Engineering Department, University of California, San Diego

3 papers at NeurIPS 2025

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Poster Session 1

Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Consistency of the

k_{n}

-nearest neighbor rule under adaptive sampling

#3106 · Robi Bhattacharjee, Geelon So, Sanjoy Dasgupta

Poster Session 2

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization

#814 · Abhishek Roy, Geelon So, Yian Ma

An algorithm with theoretically guaranteed convergence rate to optimize a preference function over the Pareto set of a given set of objectives.

Poster Session 3

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

On the sample complexity of semi-supervised multi-objective learning

#3016 Spotlight · Tobias Wegel, Geelon So, Junhyung Park, Fanny Yang

we theoretically study when and how unlabeled data can help in multi-objective learning