Yuhuai Wu

According to our database1, Yuhuai Wu authored at least 10 papers between 2016 and 2018.

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Bibliography

2018
The Importance of Sampling inMeta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Understanding Short-Horizon Bias in Stochastic Meta-Optimization.
Proceedings of the 6th International Conference on Learning Representations, 2018

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model.
Neural Computation, 2017

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On the Quantitative Analysis of Decoder-Based Generative Models.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Architectural Complexity Measures of Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

On Multiplicative Integration with Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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