Masakazu Ishihata

According to our database1, Masakazu Ishihata authored at least 29 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Time-Considerable Dialogue Models via Reranking by Time Dependency.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

The Bag-Based Search: A Meta-Algorithm to Construct Tractable Logical Circuits for Graphs Based on Tree Decomposition.
Proceedings of the Combinatorial Optimization and Applications, 2023

2022
Solving and Generating Nagareru Puzzles.
Proceedings of the 20th International Symposium on Experimental Algorithms, 2022

Computing NP-Hard Repetitiveness Measures via MAX-SAT.
Proceedings of the 30th Annual European Symposium on Algorithms, 2022

2021
Vertical Federated Learning for Higher-Order Factorization Machines.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Fréchet Kernel for Trajectory Data Analysis.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020
Designing Survivable Networks with Zero-Suppressed Binary Decision Diagrams.
Proceedings of the WALCOM: Algorithms and Computation - 14th International Conference, 2020

2019
Enumeration of Distinct Support Vectors for Interactive Decision Making.
CoRR, 2019

Exact Bernoulli Scan Statistics using Binary Decision Diagrams.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Algorithmic Meta-Theorems for Monotone Submodular Maximization.
CoRR, 2018

Exact Computation of Strongly Connected Reliability by Binary Decision Diagrams.
Proceedings of the Combinatorial Optimization and Applications, 2018

Efficient Bandit Combinatorial Optimization Algorithm with Zero-suppressed Binary Decision Diagrams.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Accelerated Best-First Search With Upper-Bound Computation for Submodular Function Maximization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Approximate and Exact Enumeration of Rule Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Practical Adversarial Combinatorial Bandit Algorithm via Compression of Decision Sets.
CoRR, 2017

Exact Computation of Influence Spread by Binary Decision Diagrams.
Proceedings of the 26th International Conference on World Wide Web, 2017

Statistical Emerging Pattern Mining with Multiple Testing Correction.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Fast Message Passing Algorithm Using ZDD-Based Local Structure Compilation.
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017

2016
Higher-Order Factorization Machines.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2014
Generating structure of latent variable models for nested data.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

2011
Constraint-based probabilistic modeling for statistical abduction.
Mach. Learn., 2011

Bayesian inference for statistical abduction using Markov chain Monte Carlo.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Discretized Kinetic Models for Abductive Reasoning in Systems Biology.
Proceedings of the Biomedical Engineering Systems and Technologies, 2011

Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology.
Proceedings of the BIOINFORMATICS 2011, 2011

Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

2009
Evaluating Abductive Hypotheses using an EM Algorithm on BDDs.
Proceedings of the IJCAI 2009, 2009


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