- Towards intelligent machines : Theories, technologies and experiments
- Optimization strategies for complex engineering applications
- MACHINE–LEARNING IN OPTIMIZATION OF EXPENSIVE BLACK–BOX FUNCTIONS
- Deep learning via Hessian-free optimization
- Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods
- Bayesian Optimization for Learning Gaits under Uncertainty An experimental comparison on a dynamic bipedal walker
- Autoencoders, Unsupervised Learning, and Deep Architectures
- Gaussian processes autoencoder for dimensionality reduction
- From Pixels to Torques: Policy Learning with Deep Dynamical Models
- Auto-Encoding Variational Bayes
- Stochastic Backpropagation and Approximate Inference in Deep Generative Models
- CLASSIFICATION AND CLUSTERING OF GRAPHS BASED ON DISSIMILARITY SPA C E EMBEDDING- slides
- SURVEY OF MULTIFIDELITY METHODS IN UNCERTAINTY PROPAGATION, INFERENCE, AND OPTIMIZATION
- Auto-Encoding Variational Bayes
- An Experimental and Theoretical Comparison of Model Selection Methods
- Preventing “Overfitting” of Cross-Validation data
- LECTURE NOTES ON APPLIED MATHEMATICS
- Nonparametric Guidance of Autoencoder Representations using Label Information
- Dimensionality Reduction: A Comparative Review