91 citations · 178 across the 17 of their papers we have counts for
4 papers · 1 filter
Family learning: nonparametric statistical inference with parametric efficiency
William Fithian, Daniel Ting
Hypothesis testing and other statistical inference procedures are most efficient when a reliable low-dimensional parametric family can be specified. We propose a method that learns…
Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation
Daniel Ting
We introduce and study a new data sketch for processing massive datasets. It addresses two common problems: 1) computing a sum given arbitrary filter conditions and 2) identifying…
Optimal Sub-sampling with Influence Functions
Daniel Ting, Eric Brochu
Sub-sampling is a common and often effective method to deal with the computational challenges of large datasets. However, for most statistical models, there is no well-motivated ap…
Adaptive Threshold Sampling
Daniel Ting
Sampling is a fundamental problem in computer science and statistics. However, for a given task and stream, it is often not possible to choose good sampling probabilities in advanc…