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cs.GT2025
Learnable Mixed Nash Equilibria are Collectively Rational
Geelon So, Yi-An Ma
We extend the study of learning in games to dynamics that exhibit non-asymptotic stability. We do so through the notion of uniform stability, which is concerned with equilibria of…
cs.DS2025
Actively Learning Halfspaces without Synthetic Data
Hadley Black, Kasper Green Larsen, Arya Mazumdar +2
In the classic point location problem, one is given an arbitrary dataset of points with query access to an unknown halfspace $f : \mathbb{R}^d \to \{0,…
stat.ML2025
On the sample complexity of semi-supervised multi-objective learning
Tobias Wegel, Geelon So, Junhyung Park +1
In multi-objective learning (MOL), several possibly competing prediction tasks must be solved jointly by a single model. Achieving good trade-offs may require a model class $\mathc…