Heishiro Kanagawa

According to our database1, Heishiro Kanagawa authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Reinforcement Learning for Adaptive MCMC.
CoRR, 2024

2023
Stein Π-Importance Sampling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Kernel Stein Test of Goodness of Fit for Sequential Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Controlling Moments with Kernel Stein Discrepancies.
CoRR, 2022

2021
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Testing Goodness of Fit of Conditional Density Models with Kernels.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Amortised Learning by Wake-Sleep.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
A Kernel Stein Test for Comparing Latent Variable Models.
CoRR, 2019

Cross-Domain Recommendation via Deep Domain Adaptation.
Proceedings of the Advances in Information Retrieval, 2019

2018
Informative Features for Model Comparison.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Gaussian process nonparametric tensor estimator and its minimax optimality.
Proceedings of the 33nd International Conference on Machine Learning, 2016


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