Technical Program
PDF (ver.3, Oct. 29, 2015)
Day 1 (Nov. 16, Monday)
(Registration 8:30 -)| 10:00-10:10 | opening | Joe Suzuki and Maomi Ueno | ||
| 10:10-11:10 | Invited Talk I (Maomi Ueno) | Changhe Yuan | "Advanced Heuristic Search Methods for Learning Optimal Bayesian Network Structures" | |
| 11:10-11:35 | Finding an optimal Bayesian network structure from data (Brandon Malone) | Joe Suzuki | "Efficiently Learning Bayesian Network Structures based on the B&B Strategy: A Theoretical Analysis" | |
| 11:35-12:00 | Kazuki Natori, Masaki Uto, Yu Nishiyama, Shuichi Kawano and Maomi Ueno | "Constraint-based learning Bayesian networks using Bayes factor" | ||
| 12:00-12:25 | Zhi-Gao Guo, Xiao-Guang Gao, Ruo-Hai Di and Yu Yang | "Learning Bayesian Network Parameters from Small Data Set: A Spatially Maximum a Posterior Method" | ||
| 12:25-13:45 | (Lunch) | |||
| 13:45-14:10 | Finding an optimal Bayesian network structure from data (Changhe Yuan) |
Niklas Jahnsson, Brandon Malone and Petri Myllymaki | "Hashing-based Hybrid Duplicate Detection for Bayesian Network Structure Learning" | |
| 14:10-14:35 | Maomi Ueno | "What is the main factor of learning accuracy for Bayesian networks score functions?" | ||
| 14:35-15:00 | Joe Suzuki and Shunsuke Iwamoto | "A Shortest Path Perspective of Bayesian Network Structure Learning: Finding Conditional Independence Relations" | ||
| 15:00-15:25 | Applications (Russell G. Almond) |
Yi Zuo, Katsutoshi Yada and Eisuke Kita | "A Bayesian Network Approach for Predicting Purchase Behavior via Direct Observation of In-store Behavior" | |
| 15:25-15:50 | Alessio Benavoli and Cassio P. de Campos | "Statistical Tests for Joint Analysis of Performance Measures" | ||
| 15:50-16:10 | (Break) | |||
| 16:10-16:35 | Applications (Russell G. Almond) |
Eiichi Sakurai | "Customer Behavior Modeling by Probabilistic Latent Semantic Analysis and Bayesian Networks" | |
| 16:35-17:00 | Yun Zhou, John Howroyd, Sebastian Danicic and Mark Bishop | "Extending Naive Bayes Classifier with Hierarchy Feature Level Information for Record Linkage" | ||
| 17:00-18:00 | Invited Talk II (Joe Suzuki) |
Brandon Malone | "Empirical Beahvior of Bayesian Network Structure Learning Algorithms" | |
| 18:00- | (Welcome Party) | |||
Day 2 (Nov. 17, Tuesday)
(Registration 8:30 -)| 9:00-10:00 | Invited Talk III (Joe Suzuki) |
Aapo Hyvarinen | "An Entropic Approach to Causal Discovery in Non-Gaussian and Non-Linear Models" |
| 10:00-10:25 | Asymptotic Analyses Approach (Takashi Isozaki) | Yuan Zou and Teemu Roos | "On Model Selection, Bayesian Networks, and the Fisher Information Integral" |
| 10:25-10:50 | Keisuke Yamazaki | "On Estimation Accuracy of Hidden Nodes in Two-Layered Bayesian Networks" | |
| 10:50-11:10 | (Break) | ||
| 11:10-11:35 |
Experimental Approach (Takashi isozaki) |
Kei Hirose and Hironori Fujisawa | "Robust Sparse Inverse Covariance Estimation" |
| 11:35-12:00 | Jingguo Dai and Jia Ren | "Unsupervised Evolutionary Algorithm for Dynamic Bayesian Network Structure Learning" | |
| 12:00-12:25 |
Discrete & Logic (Masakazu Ishihata) |
Masakazu Ishihata | "Propositionalizing Bayesian Networks for Efficient Parameter Learning" |
| 12:25-12:50 | Chao Li and Maomi Ueno | "A Fast Clique Maintenance algorithm for Optimal Triangulation of Bayesian Networks" | |
| 12:50-14:10 | (Lunch) | ||
| 14:10-14:35 |
Discrete & Logic (Masakazu Ishihata) |
Shan Gao and Shin-Ichi Minato | "Factorization of ZDDs for Representing Bayesian Networks Based on d-separations" |
| 14:35-15:00 |
Causal Discovery (Shohei Shimizu) |
Karthika Mohan and Judea Pearl | "Missing Data From A Causal Perspective" |
| 15:00-15:25 | Kosuke Morikawa and Yutaka Kano | "Doubly Robust Estimation under Nonignorable Nonresopnse" | |
| 15:25-15:50 | Takashi Isozaki and Manabu Kuroki | "Learning Maximal Ancestral Graphs with Robustness for Faithfulness Violations" | |
| 15:50-16:10 | (Break) | ||
| 16:10-16:35 |
Causal Discovery (Aapo Hyvarinen) |
Patrick Blobaum, Shohei Shimizu and Takashi Washio | "Discriminative and Generative models in Causal and Anticausal settings" |
| 16:35-17:00 | Hei Chan | "Causal Identification of Linear SEMs" | |
| 17:00-18:00 |
Invited Talk IV (Maomi Ueno) |
Shohei Shimizu | "A non-Gaussian Approach for Causal Discovery in the Presence of Hidden Common Causes" |
Day 3 (Nov. 18, Wednesday)
(Registration 8:30 -)| 9:00-10:00 | Invited Talk V (Joe Suzuki) |
Cassio P. de Campos | "Learning Bayesian Networks with Biomedical Applications" |
| 10:00-10:25 | Genome analysis based on Bayesian networks (Seiya Imoto) | Joe Suzuki | "Forest Learning based on the Chow-Liu Algorithm and its Application to Genome Differential Analysis: A Novel Mutual Information Estimation" |
| 10:00-10:25 | Reiichiro Nakamichi, Hirohisa Kishino, and Shuichi Kitada | "Entropy-based maximal connected core network" | |
| 10:50-11:10 | (Break) | ||
| 11:10-11:35 | Genome analysis based on Bayesian networks (Seiya Imoto) |
Yoshinori Tamada | "Cancer Genome Research with Gene Network Analysis using Bayesian Networks" |
| 11:10-11:35 | Yoichi Takenaka | Identification of the state-change-time-point of gene regulations from time-course experiments | |
| 12:00-13:00 | Invited Talk VI (Maomi Ueno) | Russell G. Almond | "Tips and Tricks for Building Bayesian Networks for Scoring Game-based Assessments" |
| 13:00-13:10 | closing | Joe Suzuki and Maomi Ueno | |