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cs.LG2023
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Nirmit Joshi, Gal Vardi, Nathan Srebro
Understanding how overparameterized neural networks generalize despite perfect interpolation of noisy training data is a fundamental question. Mallinar et. al. 2022 noted that neur…
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…