58 citations · 305 across the 33 of their papers we have counts for
6 papers · 1 filter
Alpha Discovery Neural Network based on Prior Knowledge
Jie Fang, Shutao Xia, Jianwu Lin +3
Genetic programming (GP) is the state-of-the-art in financial automated feature construction task. It employs reverse polish expression to represent features and then conducts the…
Automatic Financial Feature Construction
Jie Fang, Shutao Xia, Jianwu Lin +1
In automatic financial feature construction task, the state-of-the-art technic leverages reverse polish expression to represent the features, then use genetic programming (GP) to c…
Visual Privacy Protection via Mapping Distortion
Yiming Li, Peidong Liu, Yong Jiang +1
Privacy protection is an important research area, which is especially critical in this big data era. To a large extent, the privacy of visual classification data is mainly in the m…
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
Jiawang Bai, Yiming Li, Jiawei Li +2
How to obtain a model with good interpretability and performance has always been an important research topic. In this paper, we propose rectified decision trees (ReDT), a knowledge…
Multinomial Random Forest: Toward Consistency and Privacy-Preservation
Yiming Li, Jiawang Bai, Jiawei Li +4
Despite the impressive performance of random forests (RF), its theoretical properties have not been thoroughly understood. In this paper, we propose a novel RF framework, dubbed mu…
Inexact Proximal Cubic Regularized Newton Methods for Convex Optimization
Chaobing Song, Ji Liu, Yong Jiang
In this paper, we use Proximal Cubic regularized Newton Methods (PCNM) to optimize the sum of a smooth convex function and a non-smooth convex function, where we use inexact gradie…