Fujisawa, Masahiro

10 publications

NeurIPS 2025 Information-Theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables Futoshi Futami, Masahiro Fujisawa

TMLR 2025 On the Convergence of SVGD in KL Divergence via Approximate Gradient Flow Masahiro Fujisawa, Futoshi Futami

ICML 2025 PAC-Bayes Analysis for Recalibration in Classification Masahiro Fujisawa, Futoshi Futami

NeurIPS 2025 Scalable Valuation of Human Feedback Through Provably Robust Model Alignment Masahiro Fujisawa, Masaki Adachi, Michael A Osborne

NeurIPS 2024 Information-Theoretic Generalization Analysis for Expected Calibration Error Futoshi Futami, Masahiro Fujisawa

NeurIPSW 2024 Information-Theoretic Generalization Analysis for Vector-Quantized VAEs Futoshi Futami, Masahiro Fujisawa

NeurIPS 2024 Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato

NeurIPS 2023 Time-Independent Information-Theoretic Generalization Bounds for SGLD Futoshi Futami, Masahiro Fujisawa

AISTATS 2021 Γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator Masahiro Fujisawa, Takeshi Teshima, Issei Sato, Masashi Sugiyama

JMLR 2021 Multilevel Monte Carlo Variational Inference Masahiro Fujisawa, Issei Sato