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ORCIDRuitong Huang
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2020 – today
- 2021
[i11]Ryan D'Orazio, Ruitong Huang:
Optimistic and Adaptive Lagrangian Hedging. CoRR abs/2101.09603 (2021)- 2020
- [c15]Kaiwen Wu, Gavin Weiguang Ding, Ruitong Huang, Yaoliang Yu:
On Minimax Optimality of GANs for Robust Mean Estimation. AISTATS 2020: 4541-4551 - [c14]Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang:
MMA Training: Direct Input Space Margin Maximization through Adversarial Training. ICLR 2020 - [i10]Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang:
CDT: Cascading Decision Trees for Explainable Reinforcement Learning. CoRR abs/2011.07553 (2020)
2010 – 2019
- 2019
- [c13]Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang:
On the Sensitivity of Adversarial Robustness to Input Data Distributions. CVPR Workshops 2019: 13-16 - [c12]Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang:
On the Sensitivity of Adversarial Robustness to Input Data Distributions. ICLR (Poster) 2019 - [c11]Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller:
On Principled Entropy Exploration in Policy Optimization. IJCAI 2019: 3130-3136 - [c10]Chenjun Xiao, Ruitong Huang, Jincheng Mei, Dale Schuurmans, Martin Müller:
Maximum Entropy Monte-Carlo Planning. NeurIPS 2019: 9516-9524 - [i9]Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang:
On the Sensitivity of Adversarial Robustness to Input Data Distributions. CoRR abs/1902.08336 (2019) - 2018
- [c9]Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang:
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. ICLR (Poster) 2018 - [c8]Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann:
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. NeurIPS 2018: 8462-8472 - [i8]Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang:
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. CoRR abs/1805.03644 (2018) - [i7]Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann:
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. CoRR abs/1811.00115 (2018) - [i6]Junfeng Wen, Yanshuai Cao, Ruitong Huang:
Few-Shot Self Reminder to Overcome Catastrophic Forgetting. CoRR abs/1812.00543 (2018) - [i5]Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang:
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training. CoRR abs/1812.02637 (2018) - 2017
- [j1]Ruitong Huang, Tor Lattimore, András György, Csaba Szepesvári:
Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities. J. Mach. Learn. Res. 18: 145:1-145:31 (2017) - [c7]Ruitong Huang, Mohammad M. Ajallooeian, Csaba Szepesvári, Martin Müller:
Structured Best Arm Identification with Fixed Confidence. ALT 2017: 593-616 - [i4]Ruitong Huang, Tor Lattimore, András György, Csaba Szepesvári:
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities. CoRR abs/1702.03040 (2017) - [i3]Ruitong Huang, Mohammad M. Ajallooeian, Csaba Szepesvári, Martin Müller:
Structured Best Arm Identification with Fixed Confidence. CoRR abs/1706.05198 (2017) - 2016
- [c6]Roland Maas, Sree Hari Krishnan Parthasarathi, Brian John King, Ruitong Huang, Björn Hoffmeister:
Anchored Speech Detection. INTERSPEECH 2016: 2963-2967 - [c5]Ruitong Huang, Tor Lattimore, András György, Csaba Szepesvári:
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities. NIPS 2016: 4970-4978 - [i2]Bing Xu, Ruitong Huang, Mu Li:
Revise Saturated Activation Functions. CoRR abs/1602.05980 (2016) - 2015
- [c4]Ruitong Huang, András György, Csaba Szepesvári:
Deterministic Independent Component Analysis. ICML 2015: 2521-2530 - [i1]Ruitong Huang, Bing Xu, Dale Schuurmans, Csaba Szepesvári:
Learning with a Strong Adversary. CoRR abs/1511.03034 (2015) - 2014
- [c3]Ruitong Huang, Csaba Szepesvári:
A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models. AISTATS 2014: 402-410 - [c2]Ruitong Huang, Csaba Szepesvári:
Generalization Bounds for Partially Linear Models. ISAIM 2014 - 2011
- [c1]Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans:
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. AAAI 2011: 567-573
Coauthor Index
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