Multilevel Monte Carlo Variational Inference M Fujisawa, I Sato Journal of Machine Learning Research (JMLR) 22 (278), 1-44, 2021 | 15 | 2021 |
-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 | 14 | 2021 |
Time-Independent Information-Theoretic Generalization Bounds for SGLD F Futami, M Fujisawa Advances in Neural Information Processing Systems 36, 2023 | 7 | 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 |
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective T Koshizuka, M Fujisawa, Y Tanaka, I Sato The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
Information-theoretic Generalization Analysis for Vector-Quantized VAEs F Futami, M Fujisawa Workshop on Machine Learning and Compression, NeurIPS 2024, 0 | | |
Convergence of SVGD in KL divergence via approximate gradient flow M Fujisawa, F Futami | | |