Learning with Uneven Data

• Switching: Understanding the Class-reversed Sampling in Tail Sample Memorization
  Chi Zhang (Xi'an Jiaotong Univiersity)*; Benyi Hu (Xi'an Jiaotong University); Yuhang Liuzhang (Xi'an Jiaotong University); Le Wang (Xi'an Jiaotong University); Li Liu (Inception Institute of Artificial Intelligence); Yuehu Liu (Xi'an Jiaotong University)
• Uplift Modeling with High Class Imbalance
  Otto E Nyberg (University of Helsinki)*; Tomasz Kuśmierczyk (University of Helsinki); Arto Klami (University of Helsinki)
• Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data
  Yutao Chen (Beijing University of Posts and Telecommunications)*; Yu Zhang (China Academy of Railway Sciences Corporation Limited); Fei Yang (China Academy of Railway Sciences Corporation Limited)
• ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data
  Hongjiao Guan (Qilu University of Technology (Shandong Academy of Sciences))*; Yingtao Zhang (Harbin Institute of Technology); Xianglong Tang (Harbin Institute of Technology); Bin Ma (Qilu University of Technology)
• Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning
  Guixuan Wen (Chongqing University)*; Kaigui Wu (Chongqing University)
• Penalty Method for Inversion-Free Deep Bilevel Optimization
  Akshay Mehra (Tulane University)*; Jihun Hamm (Tulane University)
• A Partial Label Metric Learning Algorithm for Class Imbalanced Data
  Wenpeng Liu (Dalian Minzu University); Li Wang (Dalian Minzu University); Jie Chen (Dalian Minzu University); Yu Zhou (Dalian Minzu University); ruirui Zheng (Dalian Minzu University); Jianjun He (Dalian Minzu University)*
• Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types
  Benjamin Christoffersen (KTH)*; Mark Clements (Karolinska Institutet); Keith Humphreys (Karolinska Institutet); Hedvig Kjellström (KTH Royal Institute of Technology)
• Bayesian Latent Factor Model for Higher-order Data
  Zerui Tao (Tokyo University of Agriculture and Technology)*; Xuyang ZHAO (Tokyo University of Agriculture and Technology); Toshihisa Tanaka (Tokyo University of Agriculture and Technology); Qibin Zhao (RIKEN AIP)