ProBO: Versatile Bayesian Optimization Using Any Probabilistic
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ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language

31 January 2019

Willie Neiswanger

Kirthevasan Kandasamy

Barnabás Póczós

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Papers citing "ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language"

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Title
Global optimization of graph acquisition functions for neural architecture search Yilin Xie Shiqiang Zhang Jixiang Qing Ruth Misener Calvin Tsay 214 3 0 29 May 2025
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System Chao Xue Wen Liu Shunxing Xie Zhenfang Wang Jiaxing Li ... Shi-Yong Chen Yibing Zhan Jing Zhang Chaoyue Wang Dacheng Tao 207 2 0 01 Mar 2023
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Neural Information Processing Systems (NeurIPS), 2021 Ryan Turner David Eriksson M. McCourt J. Kiili Eero Laaksonen Zhen Xu Isabelle M Guyon BDL 330 352 0 20 Apr 2021
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep LearningUSENIX Symposium on Operating Systems Design and Implementation (OSDI), 2020 Aurick Qiao Sang Keun Choe Suhas Jayaram Subramanya Willie Neiswanger Qirong Ho Hao Zhang G. Ganger Eric Xing VLM 201 221 0 27 Aug 2020
A Study on Encodings for Neural Architecture SearchNeural Information Processing Systems (NeurIPS), 2020 Colin White Willie Neiswanger Sam Nolen Yash Savani AI4CE 221 78 0 09 Jul 2020
Uncertainty quantification using martingales for misspecified Gaussian processesInternational Conference on Algorithmic Learning Theory (ALT), 2020 Willie Neiswanger Aaditya Ramdas UQCV 216 14 0 12 Jun 2020
Exploring the Loss Landscape in Neural Architecture SearchConference on Uncertainty in Artificial Intelligence (UAI), 2020 Colin White Sam Nolen Yash Savani 285 33 0 06 May 2020
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture SearchAAAI Conference on Artificial Intelligence (AAAI), 2019 Colin White Willie Neiswanger Yash Savani BDL 387 380 0 25 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 269 97 0 14 Oct 2019
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable RecommendationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Ksenia Korovina Sailun Xu Kirthevasan Kandasamy Willie Neiswanger Barnabás Póczós J. Schneider Eric Xing 332 137 0 05 Aug 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju Willie Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric Xing 217 189 0 15 Mar 2019