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Halyun Jeong

2 accepted papers

2023

Nearly Optimal Bounds for Cyclic Forgetting

NeurIPS 2023poster

We provide theoretical bounds on the forgetting quantity in the continual learning setting for linear tasks, where each round of learning corresponds to projecting onto a linear subspace. For a cyclic task ordering on $T$ tasks repeated $m$ times each, we prove the best known upper bound of $O(T^2/m…

Cited by 6SourcePDFScholar
2019

Are we there yet? Manifold identification of gradient-related proximal methods

AISTATS 2019poster

In machine learning, models that generalize better often generate outputs that lie on a low-dimensional manifold. Recently, several works have separately shown finite-time manifold identification by some proximal methods. In this work we provide a unified view by giving a simple condition under whi…

Cited by 41SourcePDFScholar