| PAC-Bayes under potentially heavy tails MJ Holland NeurIPS 2019, 2019 | 38 | 2019 |
| Efficient learning with robust gradient descent MJ Holland, K Ikeda Machine Learning 108 (8), 1523-1560, 2019 | 32 | 2019 |
| Robust descent using smoothed multiplicative noise MJ Holland AISTATS 2019, 2018 | 28 | 2018 |
| Better generalization with less data using robust gradient descent M Holland, K Ikeda ICML 2019, 2761-2770, 2019 | 24 | 2019 |
| Robust regression using biased objectives MJ Holland, K Ikeda Machine Learning 106, 1643-1679, 2017 | 16 | 2017 |
| Learning with risk-averse feedback under potentially heavy tails MJ Holland, EM Haress AISTATS 2021, 892-900, 2021 | 13* | 2021 |
| Spectral risk-based learning using unbounded losses MJ Holland, EM Haress AISTATS 2022, 1871-1886, 2022 | 12 | 2022 |
| Forecasting in wind energy applications with site-adaptive Weibull estimation MJ Holland, K Ikeda ICASSP 2014, 2184-2188, 2014 | 9 | 2014 |
| Robustness and scalability under heavy tails, without strong convexity MJ Holland AISTATS 2021, 865-873, 2021 | 8 | 2021 |
| Making learning more transparent using conformalized performance prediction MJ Holland ICML 2021 Workshop on Distribution-Free Uncertainty Quantification, 2020 | 8 | 2020 |
| Minimum Proper Loss Estimators for Parametric Models MJ Holland, K Ikeda IEEE Transactions on Signal Processing 64 (3), 704-713, 2016 | 8 | 2016 |
| A Survey of Learning Criteria Going beyond the Usual Risk MJ Holland, K Tanabe Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22698 …, 2024 | 6* | 2024 |
| Learning with risks based on M-location MJ Holland Machine Learning 111 (12), 4679-4718, 2022 | 6* | 2022 |
| Location robust estimation of predictive Weibull parameters in short-term wind speed forecasting MJ Holland, K Ikeda ICASSP 2015, 3996-4000, 2015 | 5 | 2015 |
| Flexible risk design using bi-directional dispersion MJ Holland International Conference on Artificial Intelligence and Statistics, 1586-1623, 2023 | 4 | 2023 |
| Distribution-robust mean estimation via smoothed random perturbations MJ Holland arXiv preprint arXiv:1906.10300, 2019 | 4 | 2019 |
| Classification using margin pursuit MJ Holland AISTATS 2019, 2018 | 4 | 2018 |
| Anytime guarantees under heavy-tailed data MJ Holland Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6918-6925, 2022 | 3 | 2022 |
| Implicit regularization via soft ascent-descent MJ Holland, K Nakatani CoRR, 2023 | 2 | 2023 |
| Scaling-up robust gradient descent techniques MJ Holland Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7694-7701, 2021 | 2 | 2021 |
Kazushi IKEDANara Institute of Science and TechnologyEmail yang diverifikasi di is.naist.jp