This paper deals with the problem of soft guessing under log-loss distor...
This paper develops an approximation to the (effective) p-resistance and...
In the field of decision trees, most previous studies have difficulty
en...
The covariance matrix adaptation evolution strategy (CMA-ES) is an effic...
This study targets the mixed-integer black-box optimization (MI-BBO) pro...
This paper proposes a neural architecture search (NAS) method for split
...
Neural architecture search (NAS) aims to automate architecture design
pr...
This study targets the mixed-integer black-box optimization (MI-BBO) pro...
We propose a theoretical framework of multi-way similarity to model
real...
The hierarchical and recursive expressive capability of rooted trees is
...
The recursive and hierarchical structure of full rooted trees is applica...
The context tree source is a source model in which the occurrence probab...
Suppose that we have two training sequences generated by parametrized
di...
A method of simultaneously optimizing both the structure of neural netwo...
High sensitivity of neural architecture search (NAS) methods against the...
Black box discrete optimization (BBDO) appears in wide range of engineer...
This paper considers the problem of guessing random variables subject to...
This paper considers the problem of variable-length lossy source coding....
This paper considers the problem of variable-length intrinsic randomness...
The graph Laplacian plays key roles in information processing of relatio...