Yuhuai Wu

According to our database1, Yuhuai Wu authored at least 16 papers between 2016 and 2018.

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Bibliography

2018
Understanding Short-Horizon Bias in Stochastic Meta-Optimization.
CoRR, 2018

Some Considerations on Learning to Explore via Meta-Reinforcement Learning.
CoRR, 2018

An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients.
CoRR, 2018

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

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation.
CoRR, 2017

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation.
CoRR, 2017

Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference.
CoRR, 2017

Second-order Optimization 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

2016
Architectural Complexity Measures of Recurrent Neural Networks.
CoRR, 2016

On Multiplicative Integration with Recurrent Neural Networks.
CoRR, 2016

On the Quantitative Analysis of Decoder-Based Generative Models.
CoRR, 2016

Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations.
CoRR, 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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