Jaeyeon Kim
Jaeyeon Kim
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Task Diversity Shortens the ICL Plateau
In-context learning (ICL) describes a language model’s ability to generate outputs based on a set of input demonstrations and a …
Jaeyeon Kim
,
Sehyun Kwon
,
Joo Young Choi
,
Jongho Park
,
Jaewoong Cho
,
Jason D. Lee
,
Ernest K. Ryu
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Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique
Recently, accelerated algorithms using the anchoring mechanism for minimax optimization and fixed-point problems have been proposed, …
TaeHo Yoon
,
Jaeyeon Kim
,
Jaewook J. Suh
,
Ernest K. Ryu
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Mirror Duality in Convex Optimization
While first-order optimization methods are usually designed to efficiently reduce the function value f(x), there has been recent …
Jaeyeon Kim
,
Chanwoo Park
,
Asuman Ozdaglar
,
Jelena Diakonikolas
,
Ernest K. Ryu
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Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
In convex optimization, first-order optimization methods efficiently minimizing function values have been a central subject study since …
Jaeyeon Kim
,
Asuman Ozdaglar
,
Chanwoo Park
,
Ernest K. Ryu
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