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Elchanan Mossel

Efficiently Learning Markov Random Fields from Dynamics

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Sep 09, 2024
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Sample-Efficient Linear Regression with Self-Selection Bias

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Feb 22, 2024
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Reconstructing the Geometry of Random Geometric Graphs

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Feb 14, 2024
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A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width

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Nov 15, 2023
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Combinative Cumulative Knowledge Processes

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Sep 11, 2023
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A Mathematical Model for Curriculum Learning

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Jan 31, 2023
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Efficient Reconstruction of Stochastic Pedigrees: Some Steps From Theory to Practice

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Apr 10, 2022
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Spectral Algorithms Optimally Recover (Censored) Planted Dense Subgraphs

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Mar 22, 2022
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Reconstruction on Trees and Low-Degree Polynomials

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Sep 14, 2021
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Spoofing Generalization: When Can't You Trust Proprietary Models?

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Jun 15, 2021
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