| 2017 | ICML | Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data. | Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama |
| 2015 | ACML | Continuous Target Shift Adaptation in Supervised Learning. | Tuan Duong Nguyen, Marthinus Christoffel du Plessis, Masashi Sugiyama |
| 2015 | ACML | Class-prior Estimation for Learning from Positive and Unlabeled Data. | Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama |
| 2015 | ICML | Convex Formulation for Learning from Positive and Unlabeled Data. | Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama |
| 2014 | AISTATS | Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. | Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee |
| 2014 | ICML | Transductive Learning with Multi-class Volume Approximation. | Gang Niu, Bo Dai, Marthinus Christoffel du Plessis, Masashi Sugiyama |
| 2012 | ICML | Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching. | Marthinus Christoffel du Plessis, Masashi Sugiyama |