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2204.05944
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Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2020
12 April 2022
Syrine Belakaria
Aryan Deshwal
Nitthilan Kanappan Jayakodi
J. Doppa
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Papers citing
"Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization"
49 / 49 papers shown
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Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA
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Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
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MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
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Huong Ha
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TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion
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VirnyFlow: A Design Space for Responsible Model Development
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BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
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Kai-Jie Lin
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Ping-Chun Hsieh
262
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0
28 May 2025
Preferential Multi-Objective Bayesian Optimization for Drug Discovery
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Long-Hung Pham
Sang T. Truong
Ari Glenn
Wendy Nguyen
Edward A. Pham
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Sanmi Koyejo
Thang Luong
240
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0
21 Mar 2025
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
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Kyurae Kim
Yimeng Zeng
Haydn Thomas Jones
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527
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31 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
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Xiaoyuan Zhang
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19 Jan 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
AAAI Conference on Artificial Intelligence (AAAI), 2024
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Phuong Mai Dinh
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339
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PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2024
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Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Diantong Li
Fengxue Zhang
Chong Liu
Yuxin Chen
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1
0
06 Nov 2024
Federated Communication-Efficient Multi-Objective Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
620
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21 Oct 2024
Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration
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Jiping Li
Haoran Yin
Kyeonghyeon Park
Hyun-Rok Lee
Taesik Lee
Dhruv Sirohi
Chi-Guhn Lee
325
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21 Aug 2024
Algorithmic Contract Design with Reinforcement Learning Agents
David Molina Concha
Kyeonghyeon Park
Hyun-Rok Lee
Taesik Lee
Chi-Guhn Lee
159
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Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi
Syrine Belakaria
J. Doppa
223
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Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
AAAI Conference on Artificial Intelligence (AAAI), 2024
Bingdong Li
Zixiang Di
Yongfan Lu
Hong Qian
Feng Wang
Peng Yang
Ke Tang
Aimin Zhou
DiffM
295
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14 May 2024
KATO: Knowledge Alignment and Transfer for Transistor Sizing of Different Design and Technology
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Weijian Fan
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Yuan Yao
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134
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Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training
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Min Jiang
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Kay Chen Tan
222
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Risk-Controlling Model Selection via Guided Bayesian Optimization
Bracha Laufer-Goldshtein
Adam Fisch
Regina Barzilay
Tommi Jaakkola
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262
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Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization
Quang-Huy Nguyen
L. P. Hoang
Hoang V. Viet
Dung D. Le
162
1
0
26 Nov 2023
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yinuo Ren
Tesi Xiao
Tanmay Gangwani
A. Rangi
Holakou Rahmanian
Lexing Ying
Subhajit Sanyal
266
6
0
22 Nov 2023
Federated Multi-Objective Learning
Haibo Yang
Zhuqing Liu
Jia-Wei Liu
Chaosheng Dong
Michinari Momma
FedML
302
20
0
15 Oct 2023
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
Navid Ansari
Hans-Peter Seidel
Vahid Babaei
359
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01 Jun 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization
Journal of machine learning research (JMLR), 2023
Huaijun Jiang
Yu Shen
Yan Zhao
Beicheng Xu
Sixian Du
Wentao Zhang
Ce Zhang
Tengjiao Wang
337
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26 Apr 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services
Journal of Supercomputing (JS), 2023
Hui Dou
Shanshan Zhu
Yiwen Zhang
Pengfei Chen
Zibin Zheng
185
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20 Apr 2023
Preference-Aware Constrained Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi
Syrine Belakaria
J. Doppa
179
11
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23 Mar 2023
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yu Inatsu
Shion Takeno
Hiroyuki Hanada
Kazuki Iwata
Ichiro Takeuchi
156
4
0
27 Jan 2023
On the role of Model Uncertainties in Bayesian Optimization
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Jonathan Foldager
Mikkel Jordahn
Lars Kai Hansen
Michael Riis Andersen
300
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14 Jan 2023
Pareto Set Learning for Expensive Multi-Objective Optimization
Neural Information Processing Systems (NeurIPS), 2022
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
238
78
0
16 Oct 2022
Recent Advances in Bayesian Optimization
ACM Computing Surveys (ACM CSUR), 2022
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
268
396
0
07 Jun 2022
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization
Machine-mediated learning (ML), 2022
Antonio Candelieri
Andrea Ponti
Francesco Archetti
144
23
0
18 May 2022
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
Neural Information Processing Systems (NeurIPS), 2021
Aryan Deshwal
J. Doppa
BDL
263
55
0
01 Nov 2021
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
Syrine Belakaria
Aryan Deshwal
J. Doppa
196
18
0
13 Oct 2021
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise
Xiaoxuan Yang
Syrine Belakaria
B. K. Joardar
Huanrui Yang
J. Doppa
P. Pande
Krishnendu Chakrabarty
Hai Helen Li
AAML
92
36
0
12 Sep 2021
Bayesian Optimization over Hybrid Spaces
International Conference on Machine Learning (ICML), 2021
Aryan Deshwal
Syrine Belakaria
J. Doppa
189
40
0
08 Jun 2021
OpenBox: A Generalized Black-box Optimization Service
Knowledge Discovery and Data Mining (KDD), 2021
Yan Zhao
Yu Shen
Wentao Zhang
Yuan-Wei Chen
Huaijun Jiang
...
Jinyang Gao
Wentao Wu
Zhi-Xin Yang
Ce Zhang
Tengjiao Wang
175
88
0
01 Jun 2021
AutoOED: Automated Optimal Experiment Design Platform
Yunsheng Tian
Mina Konakovic-Lukovic
Timothy Erps
Michael Foshey
Wojciech Matusik
104
7
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13 Apr 2021
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms
Nitthilan Kanappan Jayakodi
J. Doppa
P. Pande
GAN
144
5
0
23 Mar 2021
Mercer Features for Efficient Combinatorial Bayesian Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2020
Aryan Deshwal
Syrine Belakaria
J. Doppa
181
37
0
14 Dec 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
AAAI Conference on Artificial Intelligence (AAAI), 2020
Aryan Deshwal
Syrine Belakaria
J. Doppa
Alan Fern
250
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0
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A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Information Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
955
2,283
0
12 Nov 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
AAAI Conference on Artificial Intelligence (AAAI), 2020
Syrine Belakaria
Aryan Deshwal
J. Doppa
162
44
0
02 Nov 2020
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations
Syrine Belakaria
Aryan Deshwal
J. Doppa
353
8
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12 Sep 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
Neural Information Processing Systems (NeurIPS), 2020
Syrine Belakaria
Aryan Deshwal
J. Doppa
320
150
0
01 Sep 2020
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
Aryan Deshwal
Syrine Belakaria
J. Doppa
163
14
0
18 Aug 2020
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints
Syrine Belakaria
Aryan Deshwal
J. Doppa
194
7
0
16 Aug 2020
Neural Architecture Generator Optimization
Neural Information Processing Systems (NeurIPS), 2020
Binxin Ru
P. Esperança
Fabio Maria Carlucci
257
44
0
03 Apr 2020
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