17 citations · 28 across the 13 of their papers we have counts for
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cs.LG2026
RAPTOR: Ridge-Adaptive Logistic Probes
Ziqi Gao, Yaotian Zhu, Qingcheng Zeng +4
Probing studies what information is encoded in a frozen LLM's layer representations by training a lightweight predictor on top of them. Beyond analysis, probes are often used opera…
cs.LG2025
A Compositional Kernel Model for Feature Learning
Feng Ruan, Keli Liu, Michael Jordan
We study a compositional variant of kernel ridge regression in which the predictor is applied to a coordinate-wise reweighting of the inputs. Formulated as a variational problem, t…
cs.LG2020
Bandit Learning in Decentralized Matching Markets
Lydia T. Liu, Feng Ruan, Horia Mania +1
We study two-sided matching markets in which one side of the market (the players) does not have a priori knowledge about its preferences for the other side (the arms) and is requir…