2 papers
cs.LG2024
On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
Nirmit Joshi, Theodor Misiakiewicz, Nathan Srebro
The goal of this paper is to investigate the complexity of gradient algorithms when learning sparse functions (juntas). We introduce a type of Statistical Queries (),…
cs.DS2023
Generalizing Greenwald-Khanna Streaming Quantile Summaries for Weighted Inputs
Sepehr Assadi, Nirmit Joshi, Milind Prabhu +1
Estimating quantiles, like the median or percentiles, is a fundamental task in data mining and data science. A (streaming) quantile summary is a data structure that can process a s…