| -ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator M Fujisawa, T Teshima, I Sato, M Sugiyama International Conference on Artificial Intelligence and Statistics …, 2021 | 11 | 2021 |
| Multilevel Monte Carlo Variational Inference M Fujisawa, I Sato Journal of Machine Learning Research (JMLR) 22 (278), 1-44, 2021 | 9 | 2021 |
| Time-Independent Information-Theoretic Generalization Bounds for SGLD F Futami, M Fujisawa Advances in Neural Information Processing Systems 36, 2023 | 4 | 2023 |
| PAC-Bayes Analysis for Recalibration in Classification M Fujisawa, F Futami arXiv preprint arXiv:2406.06227, 2024 | | 2024 |
| Information-theoretic Generalization Analysis for Expected Calibration Error F Futami, M Fujisawa arXiv preprint arXiv:2405.15709, 2024 | | 2024 |
| Initialization Bias of Fourier Neural Operator: Revisiting the Edge of Chaos T Koshizuka, M Fujisawa, Y Tanaka, I Sato arXiv preprint arXiv:2310.06379, 2023 | | 2023 |
| Convergence of SVGD in KL divergence via approximate gradient flow M Fujisawa, F Futami | | |
Issei SatoUniversity of TokyoVerified email at g.ecc.u-tokyo.ac.jp
