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Autobahn: Automorphism-based Graph Neural Nets


Mar 02, 2021
Erik Henning Thiede, Wenda Zhou, Risi Kondor

* 8 pages, 5 figures 

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SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design


Jul 16, 2020
Ari Seff, Yaniv Ovadia, Wenda Zhou, Ryan P. Adams


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Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions


Mar 03, 2020
Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki

* AISTATS 2020 

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Discrete Object Generation with Reversible Inductive Construction


Jul 18, 2019
Ari Seff, Wenda Zhou, Farhan Damani, Abigail Doyle, Ryan P. Adams


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Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions


Jul 07, 2018
Shuaiwen Wang, Wenda Zhou, Haihao Lu, Arian Maleki, Vahab Mirrokni

* The paper is published on ICML 2018 

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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

* 23 pages, 1 figure 

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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

* 14 pages, 1 figure. Minor phrasing changes and better notation for proofs 

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