Futoshi Futami

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Variational Inference

Top Venues

Publications

Futoshi Futami, Masahiro Fujisawa
Information-theoretic Generalization Analysis for Expected Calibration Error. CoRR (2024)
Futoshi Futami, Tomoharu Iwata
Information-theoretic Analysis of Bayesian Test Data Sensitivity. AISTATS (2024)
Masahiro Fujisawa, Futoshi Futami
PAC-Bayes Analysis for Recalibration in Classification. CoRR (2024)
Futoshi Futami, Masahiro Fujisawa
Time-Independent Information-Theoretic Generalization Bounds for SGLD. CoRR (2023)
Futoshi Futami, Tomoharu Iwata
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty. CoRR (2023)
Futoshi Futami, Masahiro Fujisawa
Time-Independent Information-Theoretic Generalization Bounds for SGLD. NeurIPS (2023)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
Excess risk analysis for epistemic uncertainty with application to variational inference. CoRR (2022)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
Predictive variational Bayesian inference as risk-seeking optimization. AISTATS (2022)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato
Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices. Entropy 23 (8) (2021)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
Loss function based second-order Jensen inequality and its application to particle variational inference. CoRR (2021)
Futoshi Futami
Scalable gradient matching based on state space Gaussian Processes. ACML (2021)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
Loss function based second-order Jensen inequality and its application to particle variational inference. NeurIPS (2021)
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane
Skew-symmetrically perturbed gradient flow for convex optimization. ACML (2021)
Futoshi Futami, Issei Sato, Masashi Sugiyama
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics. ICML (2020)
Hideaki Imamura, Nontawat Charoenphakdee, Futoshi Futami, Issei Sato, Junya Honda, Masashi Sugiyama
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time. CoRR (2020)
Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama
Bayesian Posterior Approximation via Greedy Particle Optimization. AAAI (2019)
Futoshi Futami, Issei Sato, Masashi Sugiyama
Variational Inference based on Robust Divergences. AISTATS (2018)
Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama
Frank-Wolfe Stein Sampling. CoRR (2018)
Futoshi Futami, Issei Sato, Masashi Sugiyama
Expectation Propagation for t-Exponential Family Using q-Algebra. NIPS (2017)