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Better Zero-Shot Reasoning with Self-Adaptive Prompting
Findings of the Association for Computational Linguistics: ACL 2023
Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arık, Tomas Pfister
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Better Zero-Shot Reasoning with Self-Adaptive Prompting
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Neural Information Processing Systems (NeurIPS), 2022
Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael Osborne, Eytan Bakshy
PDF Cite Code Abstract (Meta Research) OpenReview Slides & Talk
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Bayesian Generational Population-Based Training
International Conference on Automated Machine Learning (AutoML-Conf), 2022
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael Osborne
PDF Cite Code OpenReview Slides & Talk AutoML Seminars
Bayesian Generational Population-Based Training
On Redundancy and Diversity in Cell-based Neural Architecture Search
International Conference on Learning Representations (ICLR), 2022.
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li
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On Redundancy and Diversity in Cell-based Neural Architecture Search
BOiLS: Bayesian Optimisation for Logic Synthesis
Design, Automation and Test in Europe (DATE), 2022
Antoine Grosnit, Cedric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou Ammar
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BOiLS: Bayesian Optimisation for Logic Synthesis
Approximate Neural Architecture Search via Operation Distribution Learning
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio M. Carlucci
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Approximate Neural Architecture Search via Operation Distribution Learning
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Neural Information Processing Systems (NeurIPS), 2021
Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael Osborne, Xiaowen Dong
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Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
State-of-the-art Bayesian optimization in high-dimensional and non-continuous spaces (ICML 2021)
Xingchen Wan, Vu Nguyen, Huong Ha, Binxin Ru, Cong Lu, Michael Osborne
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Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Performant and efficient NAS method combining BO and graph kernels (ICLR 2021)
Binxin Ru, Xingchen Wan, Xiaowen Dong, Michael Osborne
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Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels