Yasen Wang — accepted AI-conference papers

2026

Learning linear state-space models with sparse system matrices

Yasen Wang, Kaiqi Fang, Guijun Ma, Junlin Li, Mengyu Sun, Zhilan Huang +1

ICLR 2026poster

Due to tractable analysis and control, linear state-space models (LSSMs) provide a fundamental mathematical tool for time-series data modeling in various disciplines. In particular, many LSSMs have sparse system matrices because interactions among variables are limited or only a few significant re…

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2024

An Iterative Min-Min Optimization Method for Sparse Bayesian Learning

Yasen Wang, Junlin Li, Zuogong Yue, ye yuan

ICML 2024poster

As a well-known machine learning algorithm, sparse Bayesian learning (SBL) can find sparse representations in linearly probabilistic models by imposing a sparsity-promoting prior on model coefficients. However, classical SBL algorithms lack the essential theoretical guarantees of global convergence.…

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