متابعة
Ruitong Huang
Ruitong Huang
XTX Markets
بريد إلكتروني تم التحقق منه على ualberta.ca - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Learning with a strong adversary‏
R Huang, B Xu, D Schuurmans, C Szepesvári‏
arXiv preprint arXiv:1511.03034, 2015‏
4542015
Mma training: Direct input space margin maximization through adversarial training‏
GW Ding, Y Sharma, KYC Lui, R Huang‏
arXiv preprint arXiv:1812.02637, 2018‏
3472018
Revise saturated activation functions‏
B Xu, R Huang, M Li‏
arXiv preprint arXiv:1602.05980, 2016‏
1012016
On the Sensitivity of Adversarial Robustness to Input Data Distributions.‏
GW Ding, KYC Lui, X Jin, L Wang, R Huang‏
ICLR (Poster) 4, 2019‏
672019
Following the leader and fast rates in linear prediction: curved constraint sets and other regularities‏
R Huang, T Lattimore, A György, C Szepesvári‏
arXiv preprint arXiv:1702.03040, 2017‏
57*2017
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
57*2016
Maximum entropy monte-carlo planning‏
C Xiao, R Huang, J Mei, D Schuurmans, M Müller‏
Advances in Neural Information Processing Systems 32, 2019‏
442019
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
372020
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
372011
Structured best arm identification with fixed confidence‏
R Huang, MM Ajallooeian, C Szepesvári, M Müller‏
International Conference on Algorithmic Learning Theory, 593-616, 2017‏
332017
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
322019
Adversarial robustness of pruned neural networks‏
L Wang, GW Ding, R Huang, Y Cao, YC Lui‏
302018
Robust pruned neural networks via adversarial training‏
L Wang, W Ding, R Huang, CAO Yanshuai, YC Lui‏
US Patent 11,562,244, 2023‏
282023
Few-shot self reminder to overcome catastrophic forgetting‏
J Wen, Y Cao, R Huang‏
arXiv preprint arXiv:1812.00543, 2018‏
242018
Anchored speech detection‏
R Maas, SHK Parthasarathi, B King, R Huang, B Hoffmeister‏
192016
Improving GAN training via binarized representation entropy (BRE) regularization‏
Y Cao, GW Ding, KYC Lui, R Huang‏
arXiv preprint arXiv:1805.03644, 2018‏
172018
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
152020
System and method for improved neural network training‏
CAO Yanshuai, YC Lui, W Ding, R Huang‏
US Patent App. 16/172,451, 2019‏
14*2019
Learning with a strong adversary (2015)‏
R Huang, B Xu, D Schuurmans, C Szepesvári‏
arXiv preprint arXiv:1511.03034, 0‏
13
System and method for max-margin adversarial training‏
W Ding, Y Sharma, YC Lui, R Huang‏
US Patent 11,568,261, 2023‏
112023
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مقالات 1–20