Ru, Binxin

19 publications

NeurIPS 2023 Bayesian Optimisation of Functions on Graphs Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A Osborne, Xiaowen Dong

TMLR 2023 Bayesian Quadrature for Neural Ensemble Search Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A Osborne

NeurIPS 2023 Construction of Hierarchical Neural Architecture Search Spaces Based on Context-Free Grammars Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter

AAAI 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start" Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang

WACV 2022 Approximate Neural Architecture Search via Operation Distribution Learning Xingchen Wan, Binxin Ru, Pedro M. Esparança, Fabio Maria Carlucci

AutoML 2022 Bayesian Generational Population-Based Training Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael Osborne

ICLRW 2022 Bayesian Generational Population-Based Training Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael Osborne

TMLR 2022 DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-Parameter and Architecture Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li

AAAI 2022 Learning to Identify Top Elo Ratings: A Dueling Bandits Approach Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen

ICLR 2022 On Redundancy and Diversity in Cell-Based Neural Architecture Search Xingchen Wan, Binxin Ru, Pedro M Esperança, Zhenguo Li

NeurIPSW 2022 Towards Discovering Neural Architectures from Scratch Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sanjay Sukthanker, Thomas Brox, Frank Hutter

ICMLW 2021 Attacking Graph Classification via Bayesian Optimisation Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael Osborne, Xiaowen Dong

NeurIPSW 2021 DARTS Without a Validation Set: Optimizing the Marginal Likelihood Miroslav Fil, Binxin Ru, Clare Lyle, Yarin Gal

ICLR 2021 Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels Binxin Ru, Xingchen Wan, Xiaowen Dong, Michael Osborne

ICML 2021 Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces Xingchen Wan, Vu Nguyen, Huong Ha, Binxin Ru, Cong Lu, Michael A. Osborne

ICLR 2020 BayesOpt Adversarial Attack Binxin Ru, Adam Cobb, Arno Blaas, Yarin Gal

ICML 2020 Bayesian Optimisation over Multiple Continuous and Categorical Inputs Binxin Ru, Ahsan Alvi, Vu Nguyen, Michael A. Osborne, Stephen Roberts

ICML 2019 Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation Ahsan Alvi, Binxin Ru, Jan-Peter Calliess, Stephen Roberts, Michael A. Osborne

ICML 2018 Fast Information-Theoretic Bayesian Optimisation Binxin Ru, Michael A. Osborne, Mark Mcleod, Diego Granziol