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Masahiro Fujisawa
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Multilevel Monte Carlo Variational Inference
M Fujisawa, I Sato
Journal of Machine Learning Research (JMLR) 22 (278), 1-44, 2021
152021
-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
142021
Time-Independent Information-Theoretic Generalization Bounds for SGLD
F Futami, M Fujisawa
Advances in Neural Information Processing Systems 36, 2023
72023
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
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