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I'm currently interested in machine learning problems in classification and ranking for the purpose of information filtering. Some of these topics include learning in the presences of noisy or adversarial labels, learning at scale over high dimensional data, and learning small human-interpretable models.
Combined Regression and Ranking
as author at Research Sessions,
Learning from Real-World Data with TensorFlow
as author at KDD 2017 Workshops,
Predicting Bounce Rates in Sponsored Search Advertisements
as author at Industrial Track,