Geelon So

According to our database, Geelon So authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Hedging on the Frontier: Learning New Tasks with Few Samples.

Tobias Wegel, Federico Di Gennaro, Geelon So, Fanny Yang

CoRR, May, 2026

2025

Learnable Mixed Nash Equilibria are Collectively Rational.

Geelon So, Yi-An Ma

CoRR, October, 2025

Actively Learning Halfspaces without Synthetic Data.

Hadley Black, Kasper Green Larsen, Arya Mazumdar, Barna Saha, Geelon So

CoRR, September, 2025

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

Tobias Wegel, Geelon So, Junhyung Park, Fanny Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Abhishek Roy, Geelon So, Yian Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Metric Learning from Limited Pairwise Preference Comparisons.

Zhi Wang, Geelon So, Ramya Korlakai Vinayak

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Online Consistency of the Nearest Neighbor Rule.

Geelon So, Sanjoy Dasgupta

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Optimization on Pareto sets: On a theory of multi-objective optimization.

Abhishek Roy, Geelon So, Yi-An Ma

CoRR, 2023

Online nearest neighbor classification.

Sanjoy Dasgupta, Geelon So

CoRR, 2023

2022

Convergence of online k-means.

Geelon So, Gaurav Mahajan, Sanjoy Dasgupta

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022