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Bounded Memory Active Learning through Enriched Queries
The explosive growth of easily-accessible unlabeled data has lead to gro...
02/09/2021 ∙ by Max Hopkins, et al. ∙
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High Dimensional Expanders: Random Walks, Pseudorandomness, and Unique Games
Higher order random walks (HD-walks) on high dimensional expanders have ...
11/09/2020 ∙ by Max Hopkins, et al. ∙
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Point Location and Active Learning: Learning Halfspaces Almost Optimally
Given a finite set X ⊂ℝ^d and a binary linear classifier c: ℝ^d →{0,1}, ...
04/23/2020 ∙ by Max Hopkins, et al. ∙
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Noise-tolerant, Reliable Active Classification with Comparison Queries
With the explosion of massive, widely available unlabeled data in the pa...
01/15/2020 ∙ by Max Hopkins, et al. ∙
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A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis
We present a novel technique for Cosmic Microwave Background (CMB) foreg...
10/17/2019 ∙ by Sebastian Wagner-Carena, et al. ∙
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The Power of Comparisons for Actively Learning Linear Classifiers
In the world of big data, large but costly to label datasets dominate ma...
07/08/2019 ∙ by Max Hopkins, et al. ∙
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Simulated Annealing for JPEG Quantization
JPEG is one of the most widely used image formats, but in some ways rema...
09/03/2017 ∙ by Max Hopkins, et al. ∙
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