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2002.09670
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Nonmyopic Gaussian Process Optimization with Macro-Actions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
22 February 2020
D. Kharkovskii
Chun Kai Ling
K. H. Low
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Papers citing
"Nonmyopic Gaussian Process Optimization with Macro-Actions"
11 / 11 papers shown
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
International Conference on Machine Learning (ICML), 2023
Apivich Hemachandra
Zhongxiang Dai
Jasraj Singh
See-Kiong Ng
K. H. Low
AAML
289
8
0
07 Jun 2023
Sample-Then-Optimize Batch Neural Thompson Sampling
Neural Information Processing Systems (NeurIPS), 2022
Zhongxiang Dai
Yao Shu
Bryan Kian Hsiang Low
Patrick Jaillet
AAML
221
30
0
13 Oct 2022
Bayesian Optimization under Stochastic Delayed Feedback
International Conference on Machine Learning (ICML), 2022
Arun Verma
Zhongxiang Dai
Bryan Kian Hsiang Low
253
15
0
19 Jun 2022
Differentially Private Federated Bayesian Optimization with Distributed Exploration
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
220
59
0
27 Oct 2021
Convolutional Normalizing Flows for Deep Gaussian Processes
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Haibin Yu
Dapeng Liu
Yizhou Chen
K. H. Low
Patrick Jaillet
BDL
248
6
0
17 Apr 2021
An Information-Theoretic Framework for Unifying Active Learning Problems
AAAI Conference on Artificial Intelligence (AAAI), 2020
Q. Nguyen
Bryan Kian Hsiang Low
Patrick Jaillet
214
23
0
19 Dec 2020
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Ranking Bayesian Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2020
Q. Nguyen
Sebastian Shenghong Tay
Bryan Kian Hsiang Low
Patrick Jaillet
232
29
0
19 Dec 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
Neural Information Processing Systems (NeurIPS), 2020
Sreejith Balakrishnan
Q. Nguyen
Bryan Kian Hsiang Low
Harold Soh
286
31
0
17 Nov 2020
Private Outsourced Bayesian Optimization
International Conference on Machine Learning (ICML), 2020
D. Kharkovskii
Zhongxiang Dai
K. H. Low
252
25
0
24 Oct 2020
Federated Bayesian Optimization via Thompson Sampling
Neural Information Processing Systems (NeurIPS), 2020
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
531
136
0
20 Oct 2020
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
Zhongxiang Dai
Yizhou Chen
K. H. Low
Patrick Jaillet
Teck-Hua Ho
231
28
0
30 Jun 2020
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