Bayesian optimization has attracted huge attention from diverse research...
We address the problem of generating a sequence of LEGO brick assembly w...
Assembling parts into an object is a combinatorial problem that arises i...
Sequential model-based optimization sequentially selects a candidate poi...
In image generation, generative models can be evaluated naturally by vis...
Discovering a solution in a combinatorial space is prevalent in many
rea...
Bayesian optimization is a popular method for solving the problem of glo...
Unlike in the traditional statistical modeling for which a user typicall...
3D shape generation has drawn attention in computer vision and machine
l...
We propose a Bayesian optimization method over sets, to minimize a black...
We propose a practical Bayesian optimization method, of which the surrog...
A meta-model is trained on a distribution of similar tasks such that it
...
Bayesian optimization is a sample-efficient method for finding a global
...
Many machine learning tasks such as multiple instance learning, 3D shape...
Hyperparameter optimization undergoes extensive evaluations of validatio...