Ivor W. Tsang

12 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• Mentored Learning: Improving Generalization and Convergence of Student Learner — Journal of Machine Learning Research 2024
• Learning Discretized Neural Networks under Ricci Flow — Journal of Machine Learning Research 2024
• Generative Adversarial Ranking Nets — Journal of Machine Learning Research 2024
• XAI Beyond Classification: Interpretable Neural Clustering — Journal of Machine Learning Research 2022
• Fast and Robust Rank Aggregation against Model Misspecification — Journal of Machine Learning Research 2022
• Multi-class Heterogeneous Domain Adaptation — Journal of Machine Learning Research 2019
• An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels — Journal of Machine Learning Research 2017
• Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions — Journal of Machine Learning Research 2017
• Towards Ultrahigh Dimensional Feature Selection for Big Data — Journal of Machine Learning Research 2014
• Convex and Scalable Weakly Labeled SVMs — Journal of Machine Learning Research 2013
• A Family of Simple Non-Parametric Kernel Learning Algorithms — Journal of Machine Learning Research 2011
• Core Vector Machines: Fast SVM Training on Very Large Data Sets — Journal of Machine Learning Research 2005