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Open Source Vizier: Distributed Infrastructure and API for Reliable and
  Flexible Blackbox Optimization

Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization

27 July 2022
Xingyou Song
Sagi Perel
Chansoo Lee
Greg Kochanski
Daniel Golovin
ArXivPDFHTML

Papers citing "Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization"

22 / 22 papers shown
Title
Pareto optimal proxy metrics
Pareto optimal proxy metrics
Lee Richardson
Alessandro Zito
Dylan Greaves
Jacopo Soriano
69
2
0
20 Feb 2025
AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design
AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design
Francisco Erivaldo Fernandes Junior
Antti Oulasvirta
103
0
0
25 Oct 2024
Predicting from Strings: Language Model Embeddings for Bayesian
  Optimization
Predicting from Strings: Language Model Embeddings for Bayesian Optimization
Tung Nguyen
Qiuyi Zhang
Bangding Yang
Chansoo Lee
J. Bornschein
Yingjie Miao
Sagi Perel
Yutian Chen
Xingyou Song
BDL
26
3
0
14 Oct 2024
The Vizier Gaussian Process Bandit Algorithm
The Vizier Gaussian Process Bandit Algorithm
Xingyou Song
Qiuyi Zhang
Chansoo Lee
Emily Fertig
Tzu-Kuo Huang
...
Greg Kochanski
Setareh Ariafar
Srinivas Vasudevan
Sagi Perel
Daniel Golovin
26
7
0
21 Aug 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm
Position: A Call to Action for a Human-Centered AutoML Paradigm
Marius Lindauer
Florian Karl
A. Klier
Julia Moosbauer
Alexander Tornede
Andreas Mueller
Frank Hutter
Matthias Feurer
Bernd Bischl
36
6
0
05 Jun 2024
Reinforced In-Context Black-Box Optimization
Reinforced In-Context Black-Box Optimization
Lei Song
Chenxiao Gao
Ke Xue
Chenyang Wu
Dong Li
Jianye Hao
Zongzhang Zhang
Chao Qian
27
3
0
27 Feb 2024
OmniPred: Language Models as Universal Regressors
OmniPred: Language Models as Universal Regressors
Xingyou Song
Oscar Li
Chansoo Lee
Bangding Yang
Daiyi Peng
Sagi Perel
Yutian Chen
48
14
0
22 Feb 2024
Learning from Label Proportions: Bootstrapping Supervised Learners via
  Belief Propagation
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
Shreyas Havaldar
Navodita Sharma
Shubhi Sareen
Karthikeyan Shanmugam
A. Raghuveer
36
2
0
12 Oct 2023
VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning
VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning
Yu-Shun Hsiao
S. Hari
Balakumar Sundaralingam
Jason Yik
Thierry Tambe
Charbel Sakr
S. Keckler
Vijay Janapa Reddi
31
4
0
11 Oct 2023
AutoML in the Age of Large Language Models: Current Challenges, Future
  Opportunities and Risks
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede
Difan Deng
Theresa Eimer
Joseph Giovanelli
Aditya Mohan
...
Sarah Segel
Daphne Theodorakopoulos
Tanja Tornede
Henning Wachsmuth
Marius Lindauer
28
22
0
13 Jun 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization
OpenBox: A Python Toolkit for Generalized Black-box Optimization
Huaijun Jiang
Yu Shen
Yang Li
Beicheng Xu
Sixian Du
Wentao Zhang
Ce Zhang
Bin Cui
28
4
0
26 Apr 2023
Scalable End-to-End ML Platforms: from AutoML to Self-serve
Scalable End-to-End ML Platforms: from AutoML to Self-serve
I. Markov
P. Apostolopoulos
Mia Garrard
Tianyu Qie
Yin Huang
...
Anika Li
Cesar Cardoso
George Han
Ryan Maghsoudian
Norm Zhou
LRM
19
2
0
27 Feb 2023
Massively Scaling Heteroscedastic Classifiers
Massively Scaling Heteroscedastic Classifiers
Mark Collier
Rodolphe Jenatton
Basil Mustafa
N. Houlsby
Jesse Berent
E. Kokiopoulou
24
8
0
30 Jan 2023
Massively Parallel Genetic Optimization through Asynchronous Propagation
  of Populations
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations
Oskar Taubert
Marie Weiel
D. Coquelin
Anis Farshian
Charlotte Debus
A. Schug
Achim Streit
Markus Gotz
15
8
0
20 Jan 2023
Differentially Private Image Classification from Features
Differentially Private Image Classification from Features
Harsh Mehta
Walid Krichene
Abhradeep Thakurta
Alexey Kurakin
Ashok Cutkosky
46
7
0
24 Nov 2022
Task Selection for AutoML System Evaluation
Task Selection for AutoML System Evaluation
Jon Lorraine
Nihesh Anderson
Chansoo Lee
Quentin de Laroussilhe
Mehadi Hassen
44
4
0
26 Aug 2022
TF-GNN: Graph Neural Networks in TensorFlow
TF-GNN: Graph Neural Networks in TensorFlow
Oleksandr Ferludin
Arno Eigenwillig
Martin J. Blais
Dustin Zelle
Jan Pfeifer
...
Anton Tsitsulin
Kevin Villela
Lisa Wang
David Wong
Bryan Perozzi
GNN
16
35
0
07 Jul 2022
Edge Inference with Fully Differentiable Quantized Mixed Precision
  Neural Networks
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks
Clemens J. S. Schaefer
Siddharth Joshi
Shane Li
Raul Blazquez
MQ
25
9
0
15 Jun 2022
Neural Architecture Search for Energy Efficient Always-on Audio Models
Neural Architecture Search for Energy Efficient Always-on Audio Models
Daniel T. Speckhard
Karolis Misiunas
Sagi Perel
Tenghui Zhu
S. Carlile
M. Slaney
22
11
0
09 Feb 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter
  Optimization
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Difan Deng
C. Benjamins
Tim Ruhopf
René Sass
Frank Hutter
83
326
0
20 Sep 2021
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
RProtoBuf: Efficient Cross-Language Data Serialization in R
RProtoBuf: Efficient Cross-Language Data Serialization in R
Dirk Eddelbuettel
M. Stokely
Jeroen Ooms
30
8
0
28 Jan 2014
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