Marthinus Christoffel du Plessis

Publication Activity (10 Years)

Years Active: 2012-2018
Publications (10 Years): 10

Top Topics

Computationally Efficient

Kullback Leibler

Supervised Learning

Top Venues

IEICE Trans. Inf. Syst.

Publications

Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. Neural Comput. 30 (7) (2018)
Ryuichi Kiryo, Gang Niu, Marthinus Christoffel du Plessis, Masashi Sugiyama
Positive-Unlabeled Learning with Non-Negative Risk Estimator. CoRR (2017)
Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data. ICML (2017)
Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama
Class-prior estimation for learning from positive and unlabeled data. Mach. Learn. 106 (4) (2017)
Ryuichi Kiryo, Gang Niu, Marthinus Christoffel du Plessis, Masashi Sugiyama
Positive-Unlabeled Learning with Non-Negative Risk Estimator. NIPS (2017)
Hideko Kawakubo, Marthinus Christoffel du Plessis, Masashi Sugiyama
Computationally Efficient Class-Prior Estimation under Class Balance Change Using Energy Distance. IEICE Trans. Inf. Syst. (1) (2016)
Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai, Yao Ma, Masashi Sugiyama
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning. NIPS (2016)
Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama
Beyond the Low-density Separation Principle: A Novel Approach to Semi-supervised Learning. CoRR (2016)
Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama
Class-prior Estimation for Learning from Positive and Unlabeled Data. CoRR (2016)
Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai, Masashi Sugiyama
Theoretical Comparisons of Learning from Positive-Negative, Positive-Unlabeled, and Negative-Unlabeled Data. CoRR (2016)
Marthinus Christoffel du Plessis, Hiroaki Shiino, Masashi Sugiyama
Online Direct Density-Ratio Estimation Applied to Inlier-Based Outlier Detection. Neural Comput. 27 (9) (2015)
Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama
Class-prior Estimation for Learning from Positive and Unlabeled Data. ACML (2015)
Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama
Convex Formulation for Learning from Positive and Unlabeled Data. ICML (2015)
Tuan Duong Nguyen, Marthinus Christoffel du Plessis, Masashi Sugiyama
Continuous Target Shift Adaptation in Supervised Learning. ACML (2015)
Gang Niu, Bo Dai, Marthinus Christoffel du Plessis, Masashi Sugiyama
Transductive Learning with Multi-class Volume Approximation. ICML (2014)
Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. AISTATS (2014)
Marthinus Christoffel du Plessis, Masashi Sugiyama
Semi-supervised learning of class balance under class-prior change by distribution matching. Neural Networks 50 (2014)
Marthinus Christoffel du Plessis, Masashi Sugiyama
Class Prior Estimation from Positive and Unlabeled Data. IEICE Trans. Inf. Syst. (5) (2014)
Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama
Analysis of Learning from Positive and Unlabeled Data. NIPS (2014)
Gang Niu, Bo Dai, Marthinus Christoffel du Plessis, Masashi Sugiyama
Transductive Learning with Multi-class Volume Approximation. CoRR (2014)
Tuan Duong Nguyen, Marthinus Christoffel du Plessis, Takafumi Kanamori, Masashi Sugiyama
Constrained Least-Squares Density-Difference Estimation. IEICE Trans. Inf. Syst. (7) (2014)
Marthinus Christoffel du Plessis, Masashi Sugiyama
Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances CoRR (2013)
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi
Density-Difference Estimation. Neural Comput. 25 (10) (2013)
Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Masao Yamanaka, Makoto Yamada, Taiji Suzuki, Takafumi Kanamori
Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning. J. Comput. Sci. Eng. 7 (2) (2013)
Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama
Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances. TAAI (2013)
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi
Density-Difference Estimation CoRR (2012)
Marthinus Christoffel du Plessis, Masashi Sugiyama
Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching CoRR (2012)
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi
Density-Difference Estimation. NIPS (2012)
Marthinus Christoffel du Plessis, Masashi Sugiyama
Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching. ICML (2012)