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BoGraph: Structured Bayesian Optimization From Logs for Expensive
  Systems with Many Parameters

BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters

16 December 2021
Sami Alabed
Eiko Yoneki
ArXivPDFHTML

Papers citing "BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters"

6 / 6 papers shown
Title
Graph Agnostic Causal Bayesian Optimisation
Graph Agnostic Causal Bayesian Optimisation
Sumantrak Mukherjee
Mengyan Zhang
Seth Flaxman
Sebastian Vollmer
CML
40
0
0
05 Nov 2024
Optimal Observation-Intervention Trade-Off in Optimisation Problems with
  Causal Structure
Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure
K. Hammar
Neil Dhir
CML
20
0
0
05 Sep 2023
Causal fault localisation in dataflow systems
Causal fault localisation in dataflow systems
Andrei Paleyes
Neil D. Lawrence
37
3
0
24 Apr 2023
Real-world Machine Learning Systems: A survey from a Data-Oriented
  Architecture Perspective
Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective
Christian Cabrera
Andrei Paleyes
Pierre Thodoroff
Neil D. Lawrence
AI4TS
AI4CE
OOD
35
6
0
09 Feb 2023
Model-based Causal Bayesian Optimization
Model-based Causal Bayesian Optimization
Scott Sussex
A. Makarova
Andreas Krause
CML
19
23
0
18 Nov 2022
Active Learning for Optimal Intervention Design in Causal Models
Active Learning for Optimal Intervention Design in Causal Models
Jiaqi Zhang
Louis V. Cammarata
C. Squires
T. Sapsis
Caroline Uhler
CML
46
25
0
10 Sep 2022
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