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1712.04567
Cited By
Practical Bayesian optimization in the presence of outliers
12 December 2017
Ruben Martinez-Cantin
K. Tee
M. McCourt
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Papers citing
"Practical Bayesian optimization in the presence of outliers"
38 / 38 papers shown
Robust Bayesian Optimisation with Unbounded Corruptions
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Ilija Bogunovic
Jeremias Knoblauch
172
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Counterfactual Credit Guided Bayesian Optimization
Qiyu Wei
Haowei Wang
Richard Allmendinger
Mauricio A Álvarez
191
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06 Oct 2025
Directed Evolution of Proteins via Bayesian Optimization in Embedding Space
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
Matouš Soldát
Jiří Kléma
BDL
203
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05 Sep 2025
Learning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks
Jiayu Peng
James K. Damewood
Jessica Karaguesian
Jaclyn R. Lunger
Rafael Gómez-Bombarelli
AI4CE
268
3
0
20 Sep 2024
Beyond Regrets: Geometric Metrics for Bayesian Optimization
Jungtaek Kim
329
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0
03 Jan 2024
Robust and Conjugate Gaussian Process Regression
International Conference on Machine Learning (ICML), 2023
Matias Altamirano
F. Briol
Jeremias Knoblauch
421
18
0
01 Nov 2023
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2023
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
456
27
0
16 Oct 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Jungtaek Kim
627
1
0
24 May 2023
Machine-learning-accelerated simulations to enable automatic surface reconstruction
Nature Computational Science (Nat. Comput. Sci.), 2023
Xiaochen Du
James K. Damewood
Jaclyn R. Lunger
Reisel Millán
Bilge Yildiz
Lin Li
Rafael Gómez-Bombarelli
AI4CE
343
42
0
12 May 2023
Quantum approximate optimization via learning-based adaptive optimization
Communications Physics (Commun. Phys.), 2023
Lixue Cheng
Yu-Qin Chen
Shi-Xin Zhang
Shengyu Zhang
220
47
0
27 Mar 2023
Gaussian Process Mapping of Uncertain Building Models with GMM as Prior
IEEE Robotics and Automation Letters (RA-L), 2022
Qianqian Zou
C. Brenner
Monika Sester
411
3
0
14 Dec 2022
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
P. Mikkola
Julien Martinelli
Louis Filstroff
Samuel Kaski
361
21
0
25 Oct 2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2022
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
Marios Kountouris
David Gesbert
264
28
0
01 Jul 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
International Conference on Machine Learning (ICML), 2022
Sebastian Ament
Daniel Schwalbe-Koda
243
12
0
16 Jun 2022
A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
Kyurae Kim
Youngjae Kim
Sungyong Park
319
14
0
12 Jun 2022
Recent Advances in Bayesian Optimization
ACM Computing Surveys (ACM CSUR), 2022
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
414
482
0
07 Jun 2022
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution
Lixue Cheng
Ziyi Yang
Chang-Yu Hsieh
Ben Liao
Shengyu Zhang
339
7
0
19 May 2022
Distributionally Robust Bayesian Optimization with
φ
\varphi
φ
-divergences
Neural Information Processing Systems (NeurIPS), 2022
Hisham Husain
Vu-Linh Nguyen
Anton Van Den Hengel
549
21
0
04 Mar 2022
Robust PAC
m
^m
m
: Training Ensemble Models Under Misspecification and Outliers
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
Marios Kountouris
David Gesbert
295
7
0
03 Mar 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Neural Information Processing Systems (NeurIPS), 2022
Ilija Bogunovic
Zihan Li
Andreas Krause
Jonathan Scarlett
334
11
0
03 Feb 2022
Adversarial Attacks on Gaussian Process Bandits
E. Han
Jonathan Scarlett
GP
AAML
373
7
0
16 Oct 2021
The effects of data size on Automated Essay Scoring engines
Christopher M. Ormerod
Amir Jafari
Susan Lottridge
Milan Patel
Amy E. Harris
P. V. Wamelen
206
2
0
30 Aug 2021
One-parameter family of acquisition functions for efficient global optimization
IEEE International Joint Conference on Neural Network (IJCNN), 2021
T. Kanazawa
218
2
0
26 Apr 2021
Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer
APL Machine Learning (AML), 2021
Yuri Koide
Arjun J. Kaithakkal
Matthias Schniewind
B. Ladewig
A. Stroh
Pascal Friederich
AI4CE
131
3
0
19 Jan 2021
Robust Gaussian Process Regression Based on Iterative Trimming
Astronomy and Computing (Astron. Comput.), 2020
Zhaozhou Li
Lu Li
Z. Shao
258
25
0
22 Nov 2020
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
Xu Cai
Jonathan Scarlett
424
32
0
20 Aug 2020
Exploring Swedish & English fastText Embeddings for NER with the Transformer
Tosin Adewumi
F. Liwicki
Marcus Liwicki
249
4
0
23 Jul 2020
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure
S. Iwazaki
Yu Inatsu
Ichiro Takeuchi
TPM
270
11
0
22 Jun 2020
Corruption-Tolerant Gaussian Process Bandit Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
235
58
0
04 Mar 2020
Robust Policy Search for Robot Navigation
IEEE Robotics and Automation Letters (RA-L), 2020
Javier Garcia-Barcos
Ruben Martinez-Cantin
282
0
0
02 Mar 2020
Mixed Strategies for Robust Optimization of Unknown Objectives
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Pier Giuseppe Sessa
Ilija Bogunovic
Maryam Kamgarpour
Andreas Krause
274
12
0
28 Feb 2020
Distributionally Robust Bayesian Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Johannes Kirschner
Ilija Bogunovic
Stefanie Jegelka
Andreas Krause
391
92
0
20 Feb 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Lukas P. Frohlich
Edgar D. Klenske
Julia Vinogradska
Christian Daniel
Melanie Zeilinger
318
40
0
07 Feb 2020
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness
Journal of machine learning research (JMLR), 2020
George Wynne
F. Briol
Mark Girolami
480
73
0
29 Jan 2020
Distantly Supervised Question Parsing
European Conference on Artificial Intelligence (ECAI), 2019
Hamid Zafar
M. Tavakol
Jens Lehmann
RALM
208
2
0
27 Sep 2019
Fully Distributed Bayesian Optimization with Stochastic Policies
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Javier Garcia-Barcos
Ruben Martinez-Cantin
OffRL
234
16
0
26 Feb 2019
Orchestrate: Infrastructure for Enabling Parallelism during Hyperparameter Optimization
A. Johnson
M. McCourt
90
2
0
19 Dec 2018
Adversarially Robust Optimization with Gaussian Processes
Ilija Bogunovic
Jonathan Scarlett
Stefanie Jegelka
Volkan Cevher
GP
AAML
210
136
0
25 Oct 2018
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