Ruitong Huang

According to our database1, Ruitong Huang authored at least 21 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Optimistic and Adaptive Lagrangian Hedging.
CoRR, 2021

2020
CDT: Cascading Decision Trees for Explainable Reinforcement Learning.
CoRR, 2020

MMA Training: Direct Input Space Margin Maximization through Adversarial Training.
Proceedings of the 8th International Conference on Learning Representations, 2020

On Minimax Optimality of GANs for Robust Mean Estimation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Maximum Entropy Monte-Carlo Planning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Principled Entropy Exploration in Policy Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Sensitivity of Adversarial Robustness to Input Data Distributions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training.
CoRR, 2018

Few-Shot Self Reminder to Overcome Catastrophic Forgetting.
CoRR, 2018

Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities.
J. Mach. Learn. Res., 2017

Structured Best Arm Identification with Fixed Confidence.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016
Revise Saturated Activation Functions.
CoRR, 2016

Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Anchored Speech Detection.
Proceedings of the Interspeech 2016, 2016

2015
Learning with a Strong Adversary.
CoRR, 2015

Deterministic Independent Component Analysis.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Generalization Bounds for Partially Linear Models.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2014

A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2011
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011


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