Charoenphakdee, Nontawat

11 publications

AISTATS 2025 Calm Composite Losses: Being Improper yet Proper Composite Han Bao, Nontawat Charoenphakdee

ICLR 2023 Is the Performance of My Deep Network Too Good to Be True? a Direct Approach to Estimating the Bayes Error in Binary Classification Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama

NeurIPSW 2022 Diffusion Models for Missing Value Imputation in Tabular Data Shuhan Zheng, Nontawat Charoenphakdee

AISTATS 2021 Robust Imitation Learning from Noisy Demonstrations Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama

ICML 2021 Classification with Rejection Based on Cost-Sensitive Classification Nontawat Charoenphakdee, Zhenghang Cui, Yivan Zhang, Masashi Sugiyama

CVPR 2021 On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul, Masashi Sugiyama

NeurIPS 2020 Learning from Aggregate Observations Yivan Zhang, Nontawat Charoenphakdee, Zhenguo Wu, Masashi Sugiyama

ICML 2019 Imitation Learning from Imperfect Demonstration Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama

ICML 2019 On Symmetric Losses for Learning from Corrupted Labels Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama

NeurIPS 2019 On the Calibration of Multiclass Classification with Rejection Chenri Ni, Nontawat Charoenphakdee, Junya Honda, Masashi Sugiyama

AAAI 2019 Unsupervised Domain Adaptation Based on Source-Guided Discrepancy Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama