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ProBO: Versatile Bayesian Optimization Using Any Probabilistic
  Programming Language
v1v2 (latest)

ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language

31 January 2019
Willie Neiswanger
Kirthevasan Kandasamy
Barnabás Póczós
J. Schneider
Eric Xing
ArXiv (abs)PDFHTML

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

9 / 9 papers shown
Title
Global optimization of graph acquisition functions for neural architecture search
Global optimization of graph acquisition functions for neural architecture search
Yilin Xie
Shiqiang Zhang
Jixiang Qing
Ruth Misener
Calvin Tsay
65
0
0
29 May 2025
Bayesian Optimization is Superior to Random Search for Machine Learning
  Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Ryan Turner
David Eriksson
M. McCourt
J. Kiili
Eero Laaksonen
Zhen Xu
Isabelle M Guyon
BDL
92
304
0
20 Apr 2021
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep
  Learning
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
Aurick Qiao
Sang Keun Choe
Suhas Jayaram Subramanya
Willie Neiswanger
Qirong Ho
Hao Zhang
G. Ganger
Eric Xing
VLM
77
183
0
27 Aug 2020
A Study on Encodings for Neural Architecture Search
A Study on Encodings for Neural Architecture Search
Colin White
Willie Neiswanger
Sam Nolen
Yash Savani
AI4CE
70
74
0
09 Jul 2020
Uncertainty quantification using martingales for misspecified Gaussian
  processes
Uncertainty quantification using martingales for misspecified Gaussian processes
Willie Neiswanger
Aaditya Ramdas
UQCV
53
14
0
12 Jun 2020
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
Willie Neiswanger
Yash Savani
BDL
128
329
0
25 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat
Brian Karrer
Daniel R. Jiang
Sam Daulton
Benjamin Letham
A. Wilson
E. Bakshy
75
93
0
14 Oct 2019
ChemBO: Bayesian Optimization of Small Organic Molecules with
  Synthesizable Recommendations
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
Ksenia Korovina
Sailun Xu
Kirthevasan Kandasamy
Willie Neiswanger
Barnabás Póczós
J. Schneider
Eric Xing
123
123
0
05 Aug 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust
  Bayesian Optimisation with Dragonfly
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
95
177
0
15 Mar 2019
1