Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. - Xinhua Zhang; Yaoliang Yu; Martha White; Ruitong Huang; Dale Schuurmans (AAAI, 2011)

A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models. - Ruitong Huang; Csaba Szepesvári (AISTATS, 2014)

Generalization Bounds for Partially Linear Models. - Ruitong Huang; Csaba Szepesvári (ISAIM, 2014)

Deterministic Independent Component Analysis. - Ruitong Huang; András György 001; Csaba Szepesvári (ICML, 2015)

Learning with a Strong Adversary. - Ruitong Huang; Bing Xu; Dale Schuurmans; Csaba Szepesvári (CoRR, 2015)

Anchored Speech Detection. - Roland Maas; Sree Hari Krishnan Parthasarathi; Brian John King; Ruitong Huang; Björn Hoffmeister (INTERSPEECH, 2016)

Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities. - Ruitong Huang; Tor Lattimore; András György 001; Csaba Szepesvári (NIPS, 2016)

Revise Saturated Activation Functions. - Bing Xu; Ruitong Huang; Mu Li (CoRR, 2016)

Structured Best Arm Identification with Fixed Confidence. - Ruitong Huang; Mohammad M. Ajallooeian; Csaba Szepesvári; Martin Müller 003 (ALT, 2017)

Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities. - Ruitong Huang; Tor Lattimore; András György 001; Csaba Szepesvári (J. Mach. Learn. Res., 2017)

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization. - Yanshuai Cao; Gavin Weiguang Ding; Kry Yik-Chau Lui; Ruitong Huang (ICLR (Poster), 2018)

Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds. - Kry Yik Chau Lui; Gavin Weiguang Ding; Ruitong Huang; Robert J. McCann (NeurIPS, 2018)

Few-Shot Self Reminder to Overcome Catastrophic Forgetting. - Junfeng Wen; Yanshuai Cao; Ruitong Huang (CoRR, 2018)

Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training. - Gavin Weiguang Ding; Yash Sharma 001; Kry Yik Chau Lui; Ruitong Huang (CoRR, 2018)

On the Sensitivity of Adversarial Robustness to Input Data Distributions. - Gavin Weiguang Ding; Kry Yik Chau Lui; Xiaomeng Jin; Luyu Wang; Ruitong Huang (CVPR Workshops, 2019)

On Principled Entropy Exploration in Policy Optimization. - Jincheng Mei; Chenjun Xiao; Ruitong Huang; Dale Schuurmans; Martin Müller 003 (IJCAI, 2019)

Maximum Entropy Monte-Carlo Planning. - Chenjun Xiao; Ruitong Huang; Jincheng Mei; Dale Schuurmans; Martin Müller 003 (NeurIPS, 2019)

On Minimax Optimality of GANs for Robust Mean Estimation. - Kaiwen Wu; Gavin Weiguang Ding; Ruitong Huang; Yaoliang Yu (AISTATS, 2020)

MMA Training: Direct Input Space Margin Maximization through Adversarial Training. - Gavin Weiguang Ding; Yash Sharma 001; Kry Yik Chau Lui; Ruitong Huang (ICLR, 2020)

CDT: Cascading Decision Trees for Explainable Reinforcement Learning. - Zihan Ding; Pablo Hernandez-Leal; Gavin Weiguang Ding; Changjian Li; Ruitong Huang (CoRR, 2020)

Optimistic and Adaptive Lagrangian Hedging. - Ryan D'Orazio; Ruitong Huang (CoRR, 2021)