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Xingchen Wan
Xingchen Wan
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
B Ru*, X Wan*, X Dong, M Osborne
International Conference on Learning Representations (ICLR) 9, 2021
49*2021
Sentiment correlation in financial news networks and associated market movements
X Wan*, J Yang*, S Marinov, JP Calliess, S Zohren, X Dong
Scientific reports 11 (3062), 2021
172021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
X Wan, V Nguyen, H Ha, B Ru, C Lu, MA Osborne
International Conference on Machine Learning (ICML) 38, 10663-10674, 2021
12*2021
Deep Curvature Suite
D Granziol, X Wan, T Garipov
arXiv preprint arXiv:1912.09656, 2019
12*2019
Iterate Averaging in the Quest for Best Test Error
D Granziol, N Baskerville, X Wan, S Albanie, S Roberts
arXiv preprint arXiv:2003.01247, 2020
6*2020
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
X Wan, H Kenlay, B Ru, A Blaas, M Osborne, X Dong
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
32021
On Redundancy and Diversity in Cell-based Neural Architecture Search
X Wan, B Ru, PM Esperanša, Z Li
International Conference on Learning Representations (ICLR) 10, 2022
22022
BOiLS: Bayesian Optimisation for Logic Synthesis
A Grosnit*, C Malherbe*, R Tutunov, X Wan, J Wang, HB Ammar
Design, Automation & Test in Europe Conference (DATE) 25, 2022
22022
Approximate Neural Architecture Search via Operation Distribution Learning
X Wan, B Ru, PM Esperanša, FM Carlucci
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2377-2386, 2022
22022
Explaining the Adaptive Generalisation Gap
D Granziol, N Baskerville, X Wan, S Albanie, S Roberts
arXiv preprint arXiv:2011.08181, 2020
22020
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
S Daulton, X Wan, D Eriksson, M Balandat, MA Osborne, E Bakshy
ICML Workshop on Adaptive Experimental Design and Active Learning in theá…, 2022
12022
Bayesian Generational Population-Based Training
X Wan, C Lu, J Parker-Holder, PJ Ball, V Nguyen, B Ru, M Osborne
International Conference on Automated Machine Learning (AutoML-Conf) 1, 2022
12022
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Articles 1–12