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settings (non iid); - information-theoretic bounds on the generalisation error of learning algorithms; - estimation theory; - hypothesis testing in non-classical settings; - estimation and prediction in
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://www.kikn.fms.meiji.ac.jp/Crest-AHC2022/index_e.html [Work content and job description] (1)Study on a new algorithm for differentially private anonymization (2)Development of proof-of-concept using smartphone apps or python
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