Ruitong Huang

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Dimensionality Reduction

Top Venues

Publications

Ryan D'Orazio, Ruitong Huang
Optimistic and Adaptive Lagrangian Hedging. CoRR (2021)
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang
MMA Training: Direct Input Space Margin Maximization through Adversarial Training. ICLR (2020)
Kaiwen Wu, Gavin Weiguang Ding, Ruitong Huang, Yaoliang Yu
On Minimax Optimality of GANs for Robust Mean Estimation. AISTATS (2020)
Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang
CDT: Cascading Decision Trees for Explainable Reinforcement Learning. CoRR (2020)
Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller
On Principled Entropy Exploration in Policy Optimization. IJCAI (2019)
Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang
On the Sensitivity of Adversarial Robustness to Input Data Distributions. CoRR (2019)
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)
Chenjun Xiao, Ruitong Huang, Jincheng Mei, Dale Schuurmans, Martin Müller
Maximum Entropy Monte-Carlo Planning. NeurIPS (2019)
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)
Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. CoRR (2018)
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 (2018)
Junfeng Wen, Yanshuai Cao, Ruitong Huang
Few-Shot Self Reminder to Overcome Catastrophic Forgetting. CoRR (2018)
Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. ICLR (Poster) (2018)
Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. NeurIPS (2018)
Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. CoRR (2018)
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 (2017)
Ruitong Huang, Mohammad M. Ajallooeian, Csaba Szepesvári, Martin Müller
Structured Best Arm Identification with Fixed Confidence. ALT (2017)
Ruitong Huang, Tor Lattimore, András György, Csaba Szepesvári
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities. CoRR (2017)
Ruitong Huang, Mohammad M. Ajallooeian, Csaba Szepesvári, Martin Müller
Structured Best Arm Identification with Fixed Confidence. CoRR (2017)
Bing Xu, Ruitong Huang, Mu Li
Revise Saturated Activation Functions. CoRR (2016)
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)
Roland Maas, Sree Hari Krishnan Parthasarathi, Brian King, Ruitong Huang, Björn Hoffmeister
Anchored Speech Detection. INTERSPEECH (2016)
Ruitong Huang, András György, Csaba Szepesvári
Deterministic Independent Component Analysis. ICML (2015)
Ruitong Huang, Bing Xu, Dale Schuurmans, Csaba Szepesvári
Learning with a Strong Adversary. CoRR (2015)
Ruitong Huang, Csaba Szepesvári
Generalization Bounds for Partially Linear Models. ISAIM (2014)
Ruitong Huang, Csaba Szepesvári
A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models. AISTATS (2014)
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. AAAI (2011)