ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS

ICLR 2019 Chao GAOjiyi LIUYuan YAOWeizhi ZHU

Robust estimation under Huber's $\epsilon$-contamination model has become an important topic in statistics and theoretical computer science. Rate-optimal procedures such as Tukey's median and other estimators based on statistical depth functions are impractical because of their computational intractability... (read more)

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