Binxin Ru

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 28

Top Topics

Neural Architecture

Top Venues

Trans. Mach. Learn. Res.

Publications

Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong
Bayesian Optimisation of Functions on Graphs. CoRR (2023)
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". CoRR (2023)
Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars. NeurIPS (2023)
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". AAAI (2023)
Colin White, Mahmoud Safari, Rhea Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter
Neural Architecture Search: Insights from 1000 Papers. CoRR (2023)
Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong
Bayesian Optimisation of Functions on Graphs. NeurIPS (2023)
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A. Osborne
Bayesian Quadrature for Neural Ensemble Search. Trans. Mach. Learn. Res. 2023 (2023)
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A. Osborne
Bayesian Quadrature for Neural Ensemble Search. CoRR (2023)
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. CoRR (2022)
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li
On Redundancy and Diversity in Cell-based Neural Architecture Search. CoRR (2022)
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
Bayesian Generational Population-Based Training. AutoML (2022)
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
Bayesian Generational Population-Based Training. CoRR (2022)
Diego Granziol, Binxin Ru, Xiaowen Dong, Stefan Zohren, Michael A. Osborne, Stephen J. Roberts
Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications. Algorithms 15 (6) (2022)
Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter
Towards Discovering Neural Architectures from Scratch. CoRR (2022)
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. Trans. Mach. Learn. Res. 2022 (2022)
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li
On Redundancy and Diversity in Cell-based Neural Architecture Search. ICLR (2022)
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI (2022)
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci
Approximate Neural Architecture Search via Operation Distribution Learning. WACV (2022)
Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong
Adversarial Attacks on Graph Classification via Bayesian Optimisation. CoRR (2021)
Roy Henha Eyono, Fabio Maria Carlucci, Pedro M. Esperança, Binxin Ru, Phillip Torr
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family. CoRR (2021)
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci
Approximate Neural Architecture Search via Operation Distribution Learning. CoRR (2021)
Miroslav Fil, Binxin Ru, Clare Lyle, Yarin Gal
DARTS without a Validation Set: Optimizing the Marginal Likelihood. CoRR (2021)
Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter
How Powerful are Performance Predictors in Neural Architecture Search? CoRR (2021)
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. CoRR (2021)
Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk
A Bayesian Perspective on Training Speed and Model Selection. CoRR (2020)
Binxin Ru, Clare Lyle, Lisa Schut, Mark van der Wilk, Yarin Gal
Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search. CoRR (2020)
Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci
Neural Architecture Generator Optimization. CoRR (2020)
Binxin Ru, Adam D. Cobb, Arno Blaas, Yarin Gal
BayesOpt Adversarial Attack. ICLR (2020)