5 papers
InspectorGPT: A Comparative Reasoning Enhanced VLM for Comprehensive Industrial Anomaly Detection
Weifei Chen, Honghao Zhang, Zhiyuan You +1
Industrial anomaly detection is a critical component of modern manufacturing. Most traditional unsupervised methods rely on modelling normal feature distributions, inherently limit…
Design-based theory for causal inference
Xin Lu, Wanjia Fu, Hongzi Li +4
Causal inference, as a major research area in statistics and data science, plays a central role across diverse fields such as medicine, economics, education, and the social science…
Multi-cut stochastic approximation methods for solving stochastic convex composite optimization
Jiaming Liang, Renato D. C. Monteiro, Honghao Zhang
This paper considers the stochastic convex composite optimization problem and presents multi-cut stochastic approximation (SA) methods for solving it, whose models in expectation o…
Parameter-free proximal bundle methods with adaptive stepsizes for hybrid convex composite optimization problems
Renato D. C. Monteiro, Honghao Zhang
This paper develops a parameter-free adaptive proximal bundle method with two important features: 1) adaptive choice of variable prox stepsizes that "closely fits" the instance und…
Proximal bundle methods for hybrid weakly convex composite optimization problems
Jiaming Liang, Renato D. C. Monteiro, Honghao Zhang
This paper establishes the iteration-complexity of proximal bundle methods for solving hybrid (i.e., a blend of smooth and nonsmooth) weakly convex composite optimization (HWC-CO)…