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Joseph Bradley
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appeared_onLLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33talk ↗authoredA Case for Ordinal Peer-evaluation in MOOCspaper ↗authoredAddressing Challenges in Data Science: Scale, Skill Sets and Complexitypaper ↗authoredEstimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependencepaper ↗authoredFilterBoost: Regression and Classification on Large Datasetspaper ↗authoredLearning Large-Scale Conditional Random Fieldspaper ↗authoredLearning Tree Conditional Random Fieldspaper ↗authoredMLlib: Machine Learning in Apache Sparkpaper ↗authoredParallel Coordinate Descent for L1-Regularized Loss Minimizationpaper ↗authoredParallel Double Greedy Submodular Maximizationpaper ↗authoredProposal Learning Large-Scale Conditional Random Fieldspaper ↗