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Peter Orbanz

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Global optimality under amenable symmetry constraints

Feb 12, 2024
Peter Orbanz

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Representing and Learning Functions Invariant Under Crystallographic Groups

Jun 08, 2023
Ryan P. Adams, Peter Orbanz

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Quantifying the Effects of Data Augmentation

Feb 18, 2022
Kevin H. Huang, Peter Orbanz, Morgane Austern

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Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs

Jul 07, 2018
Benjamin Bloem-Reddy, Peter Orbanz

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Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data

Jun 27, 2018
Victor Veitch, Morgane Austern, Wenda Zhou, David M. Blei, Peter Orbanz

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Compressibility and Generalization in Large-Scale Deep Learning

May 21, 2018
Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, Peter Orbanz

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Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures

Feb 13, 2015
Peter Orbanz, Daniel M. Roy

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Projective Limit Random Probabilities on Polish Spaces

Oct 19, 2011
Peter Orbanz

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Conjugate Projective Limits

Jan 07, 2011
Peter Orbanz

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