Binxin Ru

29 papers A* 7A 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2023 A* conf
Bayesian Optimisation of Functions on Graphs.
NeurIPS
Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong
2023 J jnl
Bayesian Optimisation of Functions on Graphs.
CoRR
Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong
2023 J jnl
Bayesian Quadrature for Neural Ensemble Search.
CoRR
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A. Osborne
2023 J jnl
Bayesian Quadrature for Neural Ensemble Search.
Trans. Mach. Learn. Res.
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A. Osborne
2023 A* conf
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars.
NeurIPS
Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sanjay Sukthanker, Thomas Brox, Frank Hutter
2023 A* conf
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start".
AAAI
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
2023 J jnl
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start".
CoRR
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
2023 J jnl
Neural Architecture Search: Insights from 1000 Papers.
CoRR
Colin White, Mahmoud Safari, Rhea Sanjay Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter
2022 A conf
Approximate Neural Architecture Search via Operation Distribution Learning.
WACV
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci
2022 — conf
Bayesian Generational Population-Based Training.
AutoML
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
2022 J jnl
Bayesian Generational Population-Based Training.
CoRR
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
2022 J jnl
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.
Trans. Mach. Learn. Res.
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
2022 A* conf
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach.
AAAI
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
2022 J jnl
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach.
CoRR
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
2022 J jnl
Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications.
Algorithms
Diego Granziol, Binxin Ru, Xiaowen Dong, Stefan Zohren, Michael A. Osborne, Stephen J. Roberts
2022 A* conf
On Redundancy and Diversity in Cell-based Neural Architecture Search.
ICLR
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li
2022 J jnl
On Redundancy and Diversity in Cell-based Neural Architecture Search.
CoRR
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li
2022 J jnl
Towards Discovering Neural Architectures from Scratch.
CoRR
Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sanjay Sukthanker, Thomas Brox, Frank Hutter
2021 J jnl
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family.
CoRR
Roy Henha Eyono, Fabio Maria Carlucci, Pedro M. Esperança, Binxin Ru, Philip H. S. Torr
2021 J jnl
Adversarial Attacks on Graph Classification via Bayesian Optimisation.
CoRR
Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong
2021 J jnl
Approximate Neural Architecture Search via Operation Distribution Learning.
CoRR
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci
2021 J jnl
DARTS without a Validation Set: Optimizing the Marginal Likelihood.
CoRR
Miroslav Fil, Binxin Ru, Clare Lyle, Yarin Gal
2021 J jnl
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.
CoRR
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
2021 J jnl
How Powerful are Performance Predictors in Neural Architecture Search?
CoRR
Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter
2020 A* conf
A Bayesian Perspective on Training Speed and Model Selection.
NeurIPS
Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk
2020 J jnl
A Bayesian Perspective on Training Speed and Model Selection.
CoRR
Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk
2020 A* conf
BayesOpt Adversarial Attack.
ICLR
Binxin Ru, Adam D. Cobb, Arno Blaas, Yarin Gal
2020 J jnl
Neural Architecture Generator Optimization.
CoRR
Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci
2020 J jnl
Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search.
CoRR
Binxin Ru, Clare Lyle, Lisa Schut, Mark van der Wilk, Yarin Gal