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09/20/2023
Dataset Factory: A Toolchain For Generative Computer Vision Datasets
Generative AI workflows heavily rely on data-centric tasks - such as fil...
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04/20/2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
This paper presents the results and insights from the black-box optimiza...
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10/03/2019
Scalable Global Optimization via Local Bayesian Optimization
Bayesian optimization has recently emerged as a popular method for the s...
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11/28/2018
Metropolis-Hastings Generative Adversarial Networks
We introduce the Metropolis-Hastings generative adversarial network (MH-...
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12/16/2017
How well does your sampler really work?
We present a new data-driven benchmark system to evaluate the performanc...
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10/13/2017
Bayesian Hypernetworks
We propose Bayesian hypernetworks: a framework for approximate Bayesian ...
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06/30/2016
A Model Explanation System: Latest Updates and Extensions
We propose a general model explanation system (MES) for "explaining" the...
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03/20/2012
