no code implementations • NeurIPS 2018 • Yi Hao, Alon Orlitsky, Ananda T. Suresh, Yihong Wu
We design the first unified, linear-time, competitive, property estimator that for a wide class of properties and for all underlying distributions uses just $2n$ samples to achieve the performance attained by the empirical estimator with $n\sqrt{\log n}$ samples.
