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Ashraf Tahmasbi

2 accepted papers

2021

DriftSurf: Stable-State / Reactive-State Learning under Concept Drift

ICML 2021spotlight

When learning from streaming data, a change in the data distribution, also known as concept drift, can render a previously-learned model inaccurate and require training a new model. We present an adaptive learning algorithm that extends previous drift-detection-based methods by incorporating drift d…

Cited by 37SourcePDFScholar
2018

Variance-Reduced Stochastic Gradient Descent on Streaming Data

NeurIPS 2018poster

We present an algorithm STRSAGA for efficiently maintaining a machine learning model over data points that arrive over time, quickly updating the model as new training data is observed. We present a competitive analysis comparing the sub-optimality of the model maintained by STRSAGA with that of an…

Cited by 32SourcePDFScholar