Search Results for author: Daniel T. Zhang

Found 3 papers, 1 papers with code

Online Boosting for Multilabel Ranking with Top-k Feedback

no code implementations24 Oct 2019 Vinod Raman, Daniel T. Zhang, Young Hun Jung, Ambuj Tewari

We present online boosting algorithms for multilabel ranking with top-k feedback, where the learner only receives information about the top k items from the ranking it provides.

Online Multiclass Boosting with Bandit Feedback

1 code implementation11 Oct 2018 Daniel T. Zhang, Young Hun Jung, Ambuj Tewari

We propose an unbiased estimate of the loss using a randomized prediction, allowing the model to update its weak learners with limited information.

General Classification

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