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Sanjoy Dasgupta

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titleconferencedate
Labeling a Data Set Using Sublinearly Many QueriesSublinear Algorithms and Nearest-Neighbor Search2018-11-27
Classic uncertainty heuristics are provably inconsistent — they can converge to the wrong classifier even with infinite labels. The alternative active…
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Interactive Learning of Classifiers and Other StructuresFoundations of Machine Learning Boot Camp 20172017-01-23
Interactive learning studies when an algorithm queries labels or other feedback adaptively and what guarantees that yields: active learning can cut label needs…
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Distribution-Specific Analysis of Nearest Neighbor Search and ClassificationLearning, Algorithm Design and Beyond Worst-Case Analysis2016-11-14
Compares algorithmic and statistical behavior of nearest neighbor with concrete bounds: shows KD-style spill forest and random-projection trees have failure…
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