Yirun Ding

DDSVM: A Differentiable Framework for Deep Support Vector Machines with Iterative Geometry-Aware Optimization

Recent studies have demonstrated the effectiveness of modularly integrating traditional machine learning methods, such as Support Vector Machines (SVMs), into neural networks for end-to-end optimization. However, current approaches mostly rely on static embedding, failing to leverage SVM's geometric…