Bai Jiang
According to our database1,
Bai Jiang
authored at least 4 papers
between 2016 and 2021.
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Bibliography
2021
Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning.
J. Mach. Learn. Res., 2021
2020
Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020
2018
Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2016
Convergence of Contrastive Divergence with Annealed Learning Rate in Exponential Family.
CoRR, 2016