research
∙
07/21/2023
Soft Guessing Under Log-Loss Distortion Allowing Errors
This paper deals with the problem of soft guessing under log-loss distor...
share
research
∙
06/14/2023
Multi-class Graph Clustering via Approximated Effective p-Resistance
This paper develops an approximation to the (effective) p-resistance and...
research
∙
06/12/2023
Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes
In the field of decision trees, most previous studies have difficulty en...
research
∙
05/01/2023
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems
The covariance matrix adaptation evolution strategy (CMA-ES) is an effic...
research
∙
12/19/2022
CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization
This study targets the mixed-integer black-box optimization (MI-BBO) pro...
research
∙
08/30/2022
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing
This paper proposes a neural architecture search (NAS) method for split ...
research
∙
07/21/2022
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling
Neural architecture search (NAS) aims to automate architecture design pr...
research
∙
05/26/2022
CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
This study targets the mixed-integer black-box optimization (MI-BBO) pro...
research
∙
03/18/2022
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-means, and Heat Kernel
We propose a theoretical framework of multi-way similarity to model real...
research
∙
01/24/2022
Probability Distribution on Rooted Trees
The hierarchical and recursive expressive capability of rooted trees is ...
research
∙
09/27/2021
Probability Distribution on Full Rooted Trees
The recursive and hierarchical structure of full rooted trees is applica...
research
∙
05/11/2021
An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval
The context tree source is a source model in which the occurrence probab...
research
∙
10/08/2019
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code
Suppose that we have two training sequences generated by parametrized di...
research
∙
07/15/2019
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures
A method of simultaneously optimizing both the structure of neural netwo...
research
∙
05/21/2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
High sensitivity of neural architecture search (NAS) methods against the...
research
∙
09/18/2018
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network
Black box discrete optimization (BBDO) appears in wide range of engineer...
research
∙
08/19/2018
Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion
This paper considers the problem of guessing random variables subject to...
research
∙
01/05/2018
Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability
This paper considers the problem of variable-length lossy source coding....
research
∙
01/05/2018
Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance
This paper considers the problem of variable-length intrinsic randomness...
research
∙
11/22/2017
