Ruitong Huang
Ruitong Huang
XTX Markets
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Learning with a strong adversary
R Huang, B Xu, D Schuurmans, C Szepesvári
arXiv preprint arXiv:1511.03034, 2015
Mma training: Direct input space margin maximization through adversarial training
GW Ding, Y Sharma, KYC Lui, R Huang
arXiv preprint arXiv:1812.02637, 2018
Revise saturated activation functions
B Xu, R Huang, M Li
arXiv preprint arXiv:1602.05980, 2016
On the Sensitivity of Adversarial Robustness to Input Data Distributions.
GW Ding, KYC Lui, X Jin, L Wang, R Huang
ICLR (Poster) 4, 2019
Following the leader and fast rates in linear prediction: Curved constraint sets and other regularities
R Huang, T Lattimore, A György, C Szepesvári
Advances in Neural Information Processing Systems 29, 2016
Convex sparse coding, subspace learning, and semi-supervised extensions
X Zhang, Y Yu, M White, R Huang, D Schuurmans
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 567-573, 2011
Maximum entropy monte-carlo planning
C Xiao, R Huang, J Mei, D Schuurmans, M Müller
Advances in Neural Information Processing Systems 32, 2019
Structured best arm identification with fixed confidence
R Huang, MM Ajallooeian, C Szepesvári, M Müller
International Conference on Algorithmic Learning Theory, 593-616, 2017
On principled entropy exploration in policy optimization
J Mei, C Xiao, R Huang, D Schuurmans, M Müller
Proceedings of the 28th International Joint Conference on Artificial …, 2019
Adversarial robustness of pruned neural networks
L Wang, GW Ding, R Huang, Y Cao, YC Lui
Cdt: Cascading decision trees for explainable reinforcement learning
Z Ding, P Hernandez-Leal, GW Ding, C Li, R Huang
arXiv preprint arXiv:2011.07553, 2020
Few-shot self reminder to overcome catastrophic forgetting
J Wen, Y Cao, R Huang
arXiv preprint arXiv:1812.00543, 2018
Robust pruned neural networks via adversarial training
L Wang, W Ding, R Huang, CAO Yanshuai, YC Lui
US Patent 11,562,244, 2023
Anchored speech detection
R Maas, SHK Parthasarathi, B King, R Huang, B Hoffmeister
Improving GAN training via binarized representation entropy (BRE) regularization
Y Cao, GW Ding, KYC Lui, R Huang
arXiv preprint arXiv:1805.03644, 2018
System and method for improved neural network training
CAO Yanshuai, YC Lui, W Ding, R Huang
US Patent App. 16/172,451, 2019
Learning with a strong adversary (2015)
R Huang, B Xu, D Schuurmans, C Szepesvári
arXiv preprint arXiv:1511.03034, 0
On minimax optimality of GANs for robust mean estimation
K Wu, GW Ding, R Huang, Y Yu
International Conference on Artificial Intelligence and Statistics, 4541-4551, 2020
Policy gradient
R Huang, T Yu, Z Ding, S Zhang
Deep Reinforcement Learning: Fundamentals, Research and Applications, 161-212, 2020
A finite-sample generalization bound for semiparametric regression: Partially linear models
R Huang, C Szepesvári
Artificial Intelligence and Statistics, 402-410, 2014
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