Futami, Futoshi

17 publications

TMLR 2026 Estimating Expected Calibration Error for Positive-Unlabeled Learning Ryuichi Kiryo, Futoshi Futami, Masashi Sugiyama
AISTATS 2025 Epistemic Uncertainty and Excess Risk in Variational Inference Futoshi Futami
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
AISTATS 2024 Information-Theoretic Analysis of Bayesian Test Data Sensitivity Futoshi Futami, Tomoharu Iwata
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 2023 Time-Independent Information-Theoretic Generalization Bounds for SGLD Futoshi Futami, Masahiro Fujisawa
AISTATS 2022 Predictive Variational Bayesian Inference as Risk-Seeking Optimization Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
NeurIPS 2021 Loss Function Based Second-Order Jensen Inequality and Its Application to Particle Variational Inference Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
ACML 2021 Scalable Gradient Matching Based on State Space Gaussian Processes Futoshi Futami
ACML 2021 Skew-Symmetrically Perturbed Gradient Flow for Convex Optimization Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane
ICML 2020 Accelerating the Diffusion-Based Ensemble Sampling by Non-Reversible Dynamics Futoshi Futami, Issei Sato, Masashi Sugiyama
AAAI 2019 Bayesian Posterior Approximation via Greedy Particle Optimization Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama
AISTATS 2018 Variational Inference Based on Robust Divergences Futoshi Futami, Issei Sato, Masashi Sugiyama
NeurIPS 2017 Expectation Propagation for T-Exponential Family Using Q-Algebra Futoshi Futami, Issei Sato, Masashi Sugiyama