This paper is about time series classification using #MachineLearning. I.e. given a time series, predict a single category that the #TimeSeries belongs to. The proposed idea is to split the time series into sub-sequences, and for each sub-sequence calculate #quantiles. The quantiles are the feature representation of the time series.

https://arxiv.org/abs/2308.00928

Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation

https://openreview.net/forum?id=Eg8Rnb0Hdd

#quantile #quantiles #estimation

'Flexible Model Aggregation for Quantile Regression', by Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani.

http://jmlr.org/papers/v24/22-0799.html

#quantile #quantiles #ensembles

Bounded Space Differentially Private Quantiles

Daniel Alabi, Omri Ben-Eliezer, Anamay Chaturvedi

Action editor: Gautam Kamath.

https://openreview.net/forum?id=sixOD8YVvM

#quantiles #quantile #privacy

Bounded Space Differentially Private Quantiles

https://openreview.net/forum?id=sixOD8YVvM

#quantiles #quantile #privacy