Search Results for author:
Found 6 papers, 3 papers with code
Safe Risk-averse Bayesian Optimization for Controller Tuning
Controller tuning and parameter optimization are crucial in system design to improve both the controller and underlying system performance.
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation
We propose an end-to-end trainable framework that processes large-scale visual data tensors by looking at a fraction of their entries only.
Automatic Termination for Hyperparameter Optimization
Across an extensive range of real-world HPO problems and baselines, we show that our termination criterion achieves a better trade-off between the test performance and optimization time.
Hierarchical Image Classification using Entailment Cone Embeddings
Image classification has been studied extensively, but there has been limited work in using unconventional, external guidance other than traditional image-label pairs for training.
Corpora and Processing Tools for Non-standard Contemporary and Diachronic Balkan Slavic
The paper describes three corpora of different varieties of BS that are currently being developed with the goal of providing data for the analysis of the diatopic and diachronic variation in non-standard Balkan Slavic.
Mixed-Variable Bayesian Optimization
However, few methods exist for mixed-variable domains and none of them can handle discrete constraints that arise in many real-world applications.
