Marthinus Christoffel du Plessis

According to our database, Marthinus Christoffel du Plessis authored at least 20 papers between 2013 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

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

Neural Comput., 2018

2017

Class-prior estimation for learning from positive and unlabeled data.

Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama

Mach. Learn., 2017

Positive-Unlabeled Learning with Non-Negative Risk Estimator.

Ryuichi Kiryo, Gang Niu, Marthinus Christoffel du Plessis, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data.

Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Computationally Efficient Class-Prior Estimation under Class Balance Change Using Energy Distance.

Hideko Kawakubo, Marthinus Christoffel du Plessis, Masashi Sugiyama

IEICE Trans. Inf. Syst., 2016

Beyond the Low-density Separation Principle: A Novel Approach to Semi-supervised Learning.

Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama

CoRR, 2016

Theoretical Comparisons of Learning from Positive-Negative, Positive-Unlabeled, and Negative-Unlabeled Data.

Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai, Masashi Sugiyama

CoRR, 2016

Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning.

Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai, Yao Ma, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Online Direct Density-Ratio Estimation Applied to Inlier-Based Outlier Detection.

Marthinus Christoffel du Plessis, Hiroaki Shiino, Masashi Sugiyama

Neural Comput., 2015

Convex Formulation for Learning from Positive and Unlabeled Data.

Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama

Proceedings of the 32nd International Conference on Machine Learning, 2015

Continuous Target Shift Adaptation in Supervised Learning.

Tuan Duong Nguyen, Marthinus Christoffel du Plessis, Masashi Sugiyama

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014

Semi-supervised learning of class balance under class-prior change by distribution matching.

Marthinus Christoffel du Plessis, Masashi Sugiyama

Neural Networks, 2014

Class Prior Estimation from Positive and Unlabeled Data.

Marthinus Christoffel du Plessis, Masashi Sugiyama

IEICE Trans. Inf. Syst., 2014

Constrained Least-Squares Density-Difference Estimation.

Tuan Duong Nguyen, Marthinus Christoffel du Plessis, Takafumi Kanamori, Masashi Sugiyama

IEICE Trans. Inf. Syst., 2014

Analysis of Learning from Positive and Unlabeled Data.

Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Transductive Learning with Multi-class Volume Approximation.

Gang Niu, Bo Dai, Marthinus Christoffel du Plessis, Masashi Sugiyama

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Density-Difference Estimation.

Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi

Neural Comput., 2013

Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning.

Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Masao Yamanaka, Makoto Yamada, Taiji Suzuki, Takafumi Kanamori

J. Comput. Sci. Eng., 2013

Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances

Marthinus Christoffel du Plessis, Masashi Sugiyama

CoRR, 2013

Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances.

Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013