2 papers
cs.LG2026
Local linear convergence of gradient methods for overparameterized Gaussian mixtures
Jingxing Wang, Vasileios Charisopoulos, Maryam Fazel
We study the problem of learning Gaussian mixture models under overparameterization. Prior work has shown that while overparameterization is essential for avoiding spurious local o…
cs.CL2026
Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents
Jingxing Wang, Chenyu Zhou, Zhihui Fu +4
Additional test-time compute can give LLM agents access to more past experience, yet expanding the context or adding rollouts does not necessarily yield greater agent capability. W…