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Jerry Li
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Jerry Li16 visible / 16 total nodes / 31 links

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Co-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalJerry LiAJerry LiResearcherWeak-to-Strong Generalization is Nearly Inevitable (in Linear Models)WWeak-to-Strong Generali...preprint / 2026Scott GengAScott GengResearcherDutch HansenADutch HansenResearcherRobust Gaussian Covariance Estimation in Nearly-Matrix Multiplication TimeWRobust Gaussian Covaria...preprint / 2020A Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant kWA Nearly Optimal and Ag...preprint / 2015Machine LearningTMachine Learning49008 worksMinimax Optimality (Probably) Doesn't Imply Distribution Learning for GANsWMinimax Optimality (Pro...preprint / 2022Semi-Random Sparse Recovery in Nearly-Linear TimeWSemi-Random Sparse Reco...preprint / 2022Learning Polynomial TransformationsWLearning Polynomial Tra...preprint / 2022Learning (Very) Simple Generative Models Is HardWLearning (Very) Simple ...preprint / 2022Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret MinimizationWRobust and Heavy-Tailed...preprint / 2021Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten PackingWRobust Sub-Gaussian Pri...preprint / 2020Learning Structured Distributions From Untrusted Batches: Faster and SimplerWLearning Structured Dis...preprint / 2020Efficient Algorithms for Multidimensional Segmented RegressionWEfficient Algorithms fo...preprint / 2020Lower Bounds for Exact Model Counting and Applications in Probabilistic DatabasesWLower Bounds for Exact ...preprint / 2013
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Jerry Li

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PaperWeak-to-Strong Generalization is Nearly Inevitable (in Linear Models)Authorship / preprint / 2026PersonScott GengCo-authorship / ResearcherPersonDutch HansenCo-authorship / ResearcherPaperRobust Gaussian Covariance Estimation in Nearly-Matrix Multiplication TimeAuthorship / preprint / 2020PaperA Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant kAuthorship / preprint / 2015TopicMachine LearningWorks on / 49008 worksPaperMinimax Optimality (Probably) Doesn't Imply Distribution Learning for GANsAuthorship / preprint / 2022PaperSemi-Random Sparse Recovery in Nearly-Linear TimeAuthorship / preprint / 2022

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