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11/06/2019
The Fourier Transform Method for Volatility Functional Inference by Asynchronous Observations
We study the volatility functional inference by Fourier transforms. This...
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10/10/2018
Inference for Volatility Functionals of Itô Semimartingales Observed with Noise
This paper presents the nonparametric inference for nonlinear volatility...
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02/13/2018
Evolved Policy Gradients
We propose a meta-learning approach for learning gradient-based reinforc...
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09/21/2017
Convolutional neural networks that teach microscopes how to image
Deep learning algorithms offer a powerful means to automatically analyze...
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09/13/2017
Learning with Opponent-Learning Awareness
Multi-agent settings are quickly gathering importance in machine learnin...
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06/06/2017
Parameter Space Noise for Exploration
Deep reinforcement learning (RL) methods generally engage in exploratory...
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06/05/2017
