Daniel Andrade
Last Updated :2025/02/04
- Affiliations, Positions
- Education and Research Center for Artificial Intelligence and Data Innovation, Associate Professor
- E-mail
- andrade
hiroshima-u.ac.jp
- Self-introduction
- My research covers a broad field in applied machine learning ranging from classification, natural language processing, clustering/outlier detection and uncertainty quantification in various domains (e.g. text, medical and security). My current research interests are especially in Text/Numerical Data Analysis, Model Selection, Bayesian Inference and Bayesian Statistics in general.
Basic Information
Major Professional Backgrounds
- 2011/10/01, 2021/01/31, NEC, Central Research Laboratories, Researcher
- 2020/04/01, Rikkyo University, Graduate School of Artificial Intelligence and Science, Visiting Associate Professor
- 2021/02/01, Hiroshima University, Education and Research Center for Artificial Intelligence and Data Innovation, Associate Professor
Educational Backgrounds
- University of Passau, Department of Informatics and Mathematics, Informatics, Germany, 2001/10, 2007/10
- The University of Tokyo, Graduate School of Information Science and Technology, Computer Science, Japan, 2008/10, 2011/09
- The Graduate University for Advanced Studies (SOKENDAI), School of Multidisciplinary Sciences, Department of Statistical Science, Statistics, 2016/04, 2019/09
Academic Degrees
- PhD (Statistics), The Graduate University for Advanced Studies (SOKENDAI)
- PhD (Computer Science), The University of Tokyo
- Diploma (Informatics), University of Passau
Research Fields
- Informatics;Principles of Informatics;Statistical science
Research Keywords
- Machine Learning, Probabilistic Modeling, Natural Language Processing, Model Selection, Regression and Clustering Analysis, Bayesian Statistics
Affiliated Academic Societies
- International Society for Bayesian Analysis
Educational Activity
Course in Charge
- 2024, Liberal Arts Education Program1, 2Term, Computer Programming
- 2024, Undergraduate Education, 2Term, Linear Regression Model
- 2024, Undergraduate Education, 4Term, Informatics and Data Science Exercise IV
- 2024, Undergraduate Education, 1Term, Data Science Seminar I
- 2024, Undergraduate Education, 2Term, Data Science Seminar II
- 2024, Undergraduate Education, Second Semester, Graduation Thesis
- 2024, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science A
- 2024, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science A
- 2024, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science B
- 2024, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science B
- 2024, Graduate Education (Master's Program) , Academic Year, Special Study on Informatics and Data Science
- 2024, Graduate Education (Master's Program) , 4Term, Practical Machine Learning
Research Activities
Academic Papers
- Stabilizing Training of Affine Coupling Layers for High-dimensional Variational Inference, Machine Learning: Science and Technology, 2024
- On the effectiveness of partially deterministic Bayesian neural networks, Computational Statistics, 2024
- Improved Variance Estimation From Trimmed Samples, Stat, 2024
- LOFT - Stable Training of Normalizing Flows for Variational Inference, Workshop on Tractable Probabilistic Modeling (TPM), 2023
- Robust Gaussian Process Regression with the Trimmed Marginal Likelihood, Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI), 2023
- Knowledge Fusion Using Dempster-Shafer Theory and the Imprecise Dirichlet Model, Proceedings of IEEE Soft Computing in Industrial Applications (SMCia), 142-148, 2008
- Lower bound Bayesian networks: an efficient inference of lower bounds on probability distributions in Bayesian networks, Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI), 10-18, 2009
- Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs, Proceedings of International Conference on Computational Linguistics (COLING), 19-27, 2010
- Effective use of Dependency Structure for Bilingual Lexicon Creation, Proceedings of International Conference on Computational Linguistics and Intelligent Text Processing (CiCling), 80-92, 2011
- Learning the Optimal use of Dependency-parsing Information for Finding Translations with Comparable Corpora, Proceedings of ACL Workshop on Building and Using Comparable Corpora, 10-18, 2011
- Translation Acquisition Using Synonym Sets, Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (HLT-NAACL), 655-660, 2013
- Synonym Acquisition Using Bilingual Comparable Corpora, Proceedings of International Joint Conference on Natural Language Processing (IJCNLP), 1077-1081, 2013
- Chinese Informal Word Normalization: an Experimental Study, Proceedings of International Joint Conference on Natural Language Processing (IJCNLP), 127-135, 2013
- Cross-lingual Text Classification Using Topic-Dependent Word Probabilities, Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (HLT-NAACL), 1466-1471, 2015
- Analogy-based Reasoning with Memory Networks for Future Prediction, Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches (CoCo), CEUR Workshop Proceedings, 1-9, 2016
- Efficient Bayes Risk Estimation for Cost-Sensitive Classification, International Conference on Artificial Intelligence and Statistics (AISTATS), Proceedings of Machine Learning Research (PMLR), 3372-3381, 2019
- POSTER: Detecting Suspicious Processes from Log-Data via a Bayesian Block Model, Proceedings of the ACM Asia Conference on Computer and Communications Security, 922-924, 2020
- Statistical Extraction and Comparison of Pivot Words for Bilingual Lexicon Extension, ACM Transactions on Asian Language Information Processing (TALIP), 11(2), 1-31, 2012
- Analysis of the Use of Background Distribution for Naive Bayes Classifiers, Journal of Intelligent Systems, 28(2), 1-15, 2017
- Leveraging knowledge bases for future prediction with memory comparison networks, AI Communications, 31(6), 465-483, 2018
- ★, Exploiting Covariate Embeddings for Classification Using Gaussian Processes, Pattern Recognition Letters, 104(1), 8-14, 2018
- ★, Robust Bayesian model selection for variable clustering with the Gaussian graphical model, Statistics and Computing, 30(2), 351-376, 2020
- Disjunct Support Spike and Slab Priors for Variable Selection in Regression under Quasi- sparseness, Stat, 1-19, 2020
- Adaptive covariate acquisition for minimizing total cost of classification, MACHINE LEARNING, 110(5), 1067-1104, 202105
- Convex covariate clustering for classification, PATTERN RECOGNITION LETTERS, 151, 193-199, 202111
Invited Lecture, Oral Presentation, Poster Presentation
- Stable Training of Normalizing Flows for Variational Inference, 2023, With Invitation, English, Arizona State University
- Robust Methods for Gaussian Process Regression and the Trimmed Marginal Likelihood Approach, 2022, With Invitation, Japanese, Kanto Gakuin University
- Introduction to Statistics and Machine Learning for AI, 2017, Japanese, Public Lecture, Iida
- Special Seminar on Artificial Intelligence (Probabilistic Modeling), Visiting Associate Professor, 2020, Japanese, Rikkyo University
- Introduction to Informatics (AI Systems, ICT, Computational Theory), Visiting Associate Professor, 2020, Japanese, Rikkyo University
- The Basics of Feature selection in Regression Models, 2021, With Invitation, Japanese, Organization for AI Data Innovation Education and Research Initiatives, Hiroshima University
- Introduction to Informatics (AI Systems, ICT, Computational Theory), Visiting Associate Professor, 2021, Japanese, Rikkyo University
- Special Seminar on Artificial Intelligence (Probabilistic Modeling), Visiting Associate Professor, 2021, Japanese, Rikkyo University
Awards
- 2008/06, Best Paper Award, IEEE Soft Computing in Industrial Applications (SMCia)
- 2009/05, IBM Ph.D. Scholarship Award
- 2011/02, Best Paper Award (3rd Place), Conference on Computational Linguistics and Intelligent Text Processing (CiCling)
- 2016/06, IPSJ Kiyasu Special Industrial Achievement Award)
- 2016/06, Best Reviewer Award, Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
- 2019/09, Dean's Award, School of Multidisciplinary Sciences, SOKENDAI
- 2020/09, Best Reviewer Award (Top 33%), International Conference on Machine Learning (ICML)
Patented
- Patent, 11201404678R (SG), 2015/05, Term Synonym Acquisition Method and Term Synonym Acquisition Apparatus
- Patent, 11201404225W (SG), 2016/05, Term Translation Acquisition Method and Term Translation Acquisition Apparatus
- Patent, 11201604193Q (SG), 2016/09, Document Classification Method
- Patent, 09542386 (US), 2017/01, Entailment Evaluation Device, Entailment Evaluation Method and Recording Medium
- Patent, 06090531, 2017/02, Word Translation Acquisition Method
- Patent, 6281491, 2018/02, Text Mining System
- Patent, 10409848 (US), 2018/04, Text Mining System
- Patent, 6455068, 2018/12, Keyword Extraction System
- Patent, 6467893, 2019/01, Information Enrichment of Existing Word Embeddings
- Patent, 20190164072 (US), 2019/05, Inference System, Information Processing System, Inference Method, and Recording Medium
- Patent, 20190180192 (US), 2019/06, An Information Processing System, An Information Processing Method and a Computer Readable Storage Medium
- Patent, 10324971, 2019/06, Feature Weighting for Naïve Bayes Classifiers Using a Generative Model
- Patent, 10354010 (US), 2019/07, Incorporating Word Similarity in Bag-of-words Representations
- Patent, 6690713, 2020/05, Inference System
External Funds
Acceptance Results of Competitive Funds
- KAKENHI-C (Basic Research Funding), Computationally Feasible Confidence Regions for Bayes Factors with Iteratively Refined Normalizing Flows
Social Activities
History as Committee Members
- Annual Conference of the Japanese Society for Artificial Intelligence, 2021/01, 2021/06
History as Peer Reviews of Academic Papers
- 2024, ICML 2024 (International Conference on Machine Learning)
- 2023, Scientific Reports
- 2023, ICML 2023 (International Conference on Machine Learning)
- 2022, AISTATS 2022 (Artificial Intelligence and Statistics)
- 2022, BMC Medical Research Methodology
- 2021, NeurIPS 2021 (Conference on Neural Information Processing Systems)
- 2021, ICML 2021 (International Conference on Machine Learning)
- 2020, ICLR 2021 (International Conference on Learning Representations)
- 2020, Computational Statistics & Data Analysis
- 2020, ICML 2020 (International Conference on Machine Learning)
- 2020, IEEE Transactions on Neural Networks and Learning Systems
- 2018, Knowledge-Based Systems
- 2018, ACL 2018 (Annual Conference of the Association for Computational Linguistics) Program Committee Member
- 2016, NAACL HLT 2016 (Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies)
- 2014, IEICE Transactions on Information and Systems