Rui Luo
Mean Field Multi-Agent Reinforcement Learning
R Luo*, Y Yang*, M Li, M Zhou, W Zhang, J Wang
ICML'18 - The 35th International Conference on Machine Learning, PMLR 80 …, 2018
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Y Wen, Y Yang, R Luo, J Wang, W Pan
ICLR'19 - The 7th International Conference on Learning Representations, 2019
A Neural Stochastic Volatility Model
R Luo, W Zhang, X Xu, J Wang
AAAI'18 - The 32nd AAAI Conference on Artificial Intelligence, 6401-6408, 2018
Wasserstein robust reinforcement learning
MA Abdullah, H Ren, HB Ammar, V Milenkovic, R Luo, M Zhang, J Wang
arXiv preprint arXiv:1907.13196, 2019
Learning text representation using recurrent convolutional neural network with highway layers
Y Wen, W Zhang, R Luo, J Wang
SIGIR'16 Workshop on Neural Information Retrieval (Neu-IR'16), 2016
A new attempt of white-box AES implementation
R Luo, X Lai, R You
2014 IEEE International Conference on Security, Pattern Analysis, and …, 2014
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
R Luo, J Wang, Y Yang, Z Zhu, J Wang
NeurIPS'18 - Advances in Neural Information Processing Systems 31, 10696-10705, 2018
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series
R Luo*, Q Zhang*, Y Yang, Y Liu
In NIPS'18 Workshop on Challenges and Opportunities for AI in Financial …, 2018
Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics
Y Wu, R Luo, C Zhang, J Wang, Y Yang
arXiv preprint arXiv:2109.09833, 2021
Learning over categorical data using counting features: With an application on click-through rate estimation
X Wu, X Gao, W Zhang, R Luo, J Wang
Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019
Learning to Infer User Hidden States for Online Sequential Advertising
Z Peng, J Jin, L Luo, Y Yang, R Luo, J Wang, W Zhang, H Xu, M Xu, C Yu, ...
CIKM'20 - The 29th ACM International Conference on Information & Knowledge …, 2020
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models
Y Yang, R Luo, Y Liu
ICASSP'19 - 2019 IEEE International Conference on Acoustics, Speech and …, 2019
Inferring Tweedie Compound Poisson Mixed Models with Adversarial Variational Methods
Y Yang, R Luo, R Khorshidi, Y Liu
NIPS'17 Workshop on Advances in Approximate Bayesian Inference (AABI'17), 2017
Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets
R Luo, Q Zhang, Y Yang, J Wang
NeurIPS'20, 2020
Sequential Advertising Agent with Interpretable User Hidden Intents
Z Peng, J Jin, L Luo, Y Yang, R Luo, J Wang, W Zhang, M Xu, C Yu, T Luo, ...
AAMAS'20 - The 19th International Conference on Autonomous Agents and …, 2020
A Robust Iterative Algorithm for Parameter Estimation of the Generalized Gamma Distribution
R Luo, W Zhao
2014 IEEE 17th International Conference on Computational Science and …, 2014
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