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eess.SY2026
NANO: A Unified Optimization Framework for Nonlinear Gaussian Filtering
Zhenxuan Ma, Haoning Wang, Wenhan Cao +1
Conventional Gaussian filtering typically approximates nonlinear models or their statistical moments and retains the Kalman update structure. The resulting approximation errors can…
math.OC2026
Rank-Adaptive and Linearly Convergent Frank--Wolfe Method over Spectrahedron via Nonconvex Oracle
Houduo Qi, Haoning Wang, Liping Zhang
For Frank--Wolfe (FW) methods for convex optimization over the spectrahedron, it remains open whether a block-update variant can be linearly convergent when the update rank never e…
cs.CL2026
BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation
Zijun Jia, Yuanchang Ye, Sen Jia +6
Large language models (LLMs) can enhance factuality via retrieval-augmented generation (RAG), but applying RAG to every query is unnecessary when the model-only answer is reliable.…