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Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

Author's Bio: Ayush Bharti received the B.E. degree in electrical and electronics engineering from the Birla Institute of Technology and Sciences, Pilani, India, in 2015, and the M.Sc. degree in signal processing and computing and the Ph.D. degree in wireless communications from Aalborg University, Aalborg, Denmark, in 2017 and 2021, respectively. He is currently working as a Postdoctoral Researcher with the Department of Computer Science, Aalto University, Espoo, Finland, and is affiliated with the Finnish Center for Artificial Intelligence. His current research interests in probabilistic machine learning include likelihood-free inference, Bayesian optimization, and Bayesian experimental design.