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On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference



Moontae Lee , Sungjun Cho , Kun Dong , David Mimno , David Bindel


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Surveillance Evasion Through Bayesian Reinforcement Learning



Dongping Qi , David Bindel , Alexander Vladimirsky

* 6 pages, 3 figures 

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Scaling Gaussian Processes with Derivative Information Using Variational Inference



Misha Padidar , Xinran Zhu , Leo Huang , Jacob R. Gardner , David Bindel


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Density of States Graph Kernels



Leo Huang , Andrew Graven , David Bindel


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On the Distribution of Minima in Intrinsic-Metric Rotation Averaging



Kyle Wilson , David Bindel

* To be published in CVPR2020 

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Efficient Rollout Strategies for Bayesian Optimization



Eric Hans Lee , David Eriksson , Bolong Cheng , Michael McCourt , David Bindel


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pySOT and POAP: An event-driven asynchronous framework for surrogate optimization



David Eriksson , David Bindel , Christine A. Shoemaker


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Scaling Gaussian Process Regression with Derivatives



David Eriksson , Kun Dong , Eric Hans Lee , David Bindel , Andrew Gordon Wilson

* Advances in Neural Information Processing Systems 32 (NIPS), 2018 
* Appears at Advances in Neural Information Processing Systems 32 (NIPS), 2018 

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GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration



Jacob R. Gardner , Geoff Pleiss , David Bindel , Kilian Q. Weinberger , Andrew Gordon Wilson

* NIPS 2018 

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