Davidson, Ian

30 publications

TMLR 2025 CXAD: Contrastive Explanations for Anomaly Detection: Algorithms, Complexity Results and Experiments Ian Davidson, Nicolás Kennedy, S. S. Ravi

AAAI 2025 Searching for Unfairness in Algorithms' Outputs: Novel Tests and Insights Ian Davidson, S. S. Ravi

AAAI 2024 Cooperative Knowledge Distillation: A Learner Agnostic Approach Michael J. Livanos, Ian Davidson, Stephen Wong

AISTATS 2023 Scalable Spectral Clustering with Group Fairness Constraints Ji Wang, Ding Lu, Ian Davidson, Zhaojun Bai

IJCAI 2021 Deep Descriptive Clustering Hongjing Zhang, Ian Davidson

JAIR 2021 Generic Constraint-Based Block Modeling Using Constraint Programming Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus

AAAI 2020 Constraint Programming for an Efficient and Flexible Block Modeling Solver Alex Lucía Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus

AAAI 2020 Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren

AAAI 2020 Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights Ian Davidson, S. S. Ravi

ECML-PKDD 2020 Towards Description of Block Model on Graph Zilong Bai, S. S. Ravi, Ian Davidson

ECML-PKDD 2019 A Framework for Deep Constrained Clustering - Algorithms and Advances Hongjing Zhang, Sugato Basu, Ian Davidson

IJCAI 2019 Dense Transformer Networks for Brain Electron Microscopy Image Segmentation Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji

AAAI 2019 Towards Fluid Machine Intelligence: Can We Make a Gifted AI? Ian Davidson, Peter B. Walker

IJCAI 2018 Descriptive Clustering: ILP and CP Formulations with Applications Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi, Christel Vrain, Ian Davidson

ICML 2018 Extreme Learning to Rank via Low Rank Assumption Minhao Cheng, Ian Davidson, Cho-Jui Hsieh

AAAI 2018 Human Guided Linear Regression with Feature-Level Constraints Aubrey Gress, Ian Davidson

NeurIPS 2018 The Cluster Description Problem - Complexity Results, Formulations and Approximations Ian Davidson, Antoine Gourru, S Ravi

AAAI 2017 A Framework for Minimal Clustering Modification via Constraint Programming Chia-Tung Kuo, S. S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson

AAAI 2016 A Framework for Outlier Description Using Constraint Programming Chia-Tung Kuo, Ian Davidson

AAAI 2015 Propagating Ranking Functions on a Graph: Algorithms and Applications Buyue Qian, Xiang Wang, Ian Davidson

IJCAI 2013 Active Learning from Relative Queries Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson

AAAI 2013 Clustering with Complex Constraints - Algorithms and Applications Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson

ICML 2013 Joint Transfer and Batch-Mode Active Learning Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye

AAAI 2010 Semi-Supervised Dimension Reduction for Multi-Label Classification Buyue Qian, Ian Davidson

IJCAI 2009 Knowledge Driven Dimension Reduction for Clustering Ian Davidson

ICML 2007 Intractability and Clustering with Constraints Ian Davidson, S. S. Ravi

AAAI 2006 Identifying and Generating Easy Sets of Constraints for Clustering Ian Davidson, S. S. Ravi

AAAI 2006 When Is Constrained Clustering Beneficial, and Why? Kiri Wagstaff, Sugato Basu, Ian Davidson

AAAI 2004 An Ensemble Technique for Stable Learners with Performance Bounds Ian Davidson

UAI 2000 Minimum Message Length Clustering Using Gibbs Sampling Ian Davidson