This information is very out of date. For more recent publications, please see my Google Scholar.

2022

• Fair Inference for Discrete Latent Variable Models
  R. Islam, S. Pan, and J. R. Foulds. Under submission, 2022.
  [PDF]

• Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation
  C. Wang, K. Wang, A. Bian, R. Islam, K. Keya, J. Foulds and S. Pan. Proceedings of ACM International Conference on Intelligent User Interfaces (IUI),2022.
  [PDF]

2021

• Can We Obtain Fairness for Free?
  R. Islam, S. Pan, and J. R. Foulds. Proceedings of AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES), 2021.
  [PDF][Slides][Poster][Talk Video]

• Debiasing career recommendations with neural fair collaborative filtering.
  R. Islam, K. Keya, Z. Zeng, S. Pan, and J. R. Foulds. Proceedings of The Web Conference (formerly known as WWW), 2021.
  [PDF][Talk Video][Slides][Lightning Talk Video][Poster][Code]

• Equitable Allocation of Healthcare Resources with Fair Survival Models
  K. Keya, R. Islam, S. Pan, I. Stockwell and J. R. Foulds. Proceedings of the 2020 SIAM International Conference on Data Mining (SDM), 2021.
  [PDF]

• Fair Representation Learning for Heterogeneous Information Networks
  Z. Zeng, R. Islam, K. Keya, J. Foulds, Y. Song, and S. Pan. Proceedings of the 15th International AAAI Conference on Web and SocialMedia (ICWSM), 2021.
  [PDF]

2020

• Equitable Allocation of Healthcare Resources with Fair Cox Models
  K. Keya, R. Islam, S. Pan, I. Stockwell and J. R. Foulds. AAAI Fall Symposium on AI in Government and Public Sector (AAAI FSS-20), 2020.
  [PDF]

• A User Study on a De-biased Career Recommender System
  C. Wang, K. Wang, A. Bian, R. Islam, K. Keya, J. R. Foulds and S. Pan. Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL), 2020.
  [PDF]

• Bayesian Modeling of Intersectional Fairness: The Variance of Bias
  J. R. Foulds*, R. Islam*, K. Keya*, S. Pan. Proceedings of the 2020 SIAM International Conference on Data Mining (SDM), 2020.
  [PDF] [Supplementary] [Arxiv preprint]

• An Intersectional Definition of Fairness
  J. R. Foulds, R. Islam, K. Keya, and S. Pan. In 36th IEEE International Conference on Data Engineering (ICDE), 2020.
  [PDF] [Arxiv long version] [Code: DF metric implemented in the IBM Research AI Fairness 360 toolkit] [AIF 360 Github page] [Slides] [Talk Video] [Demo Code]

2019

• Differential Fairness
  J. R. Foulds, R. Islam, K. Keya, and S. Pan. In NeurIPS 2019 Workshop on Machine Learning with Guarantees, 2019.
  [PDF] [Code] [Poster]

• Mitigating Demographic Biases in Social Media-based Recommender Systems
  R. Islam, K. Keya, S. Pan, and J. R. Foulds. The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Social Impact Track (extended abstract), 2019.
  [PDF]

• Scalable Collapsed Inference for High-Dimensional Topic Models
  R. Islam and J. R. Foulds. Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
  [PDF] [Code]

2018

• Towards a Highly Efficient Online Inference Algorithm for Latent Dirichlet Allocation
  R. Islam and J. R. Foulds. Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL), 2018.
  [PDF]

• MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers
  M. Hosseini, R. Islam, L. Marni, T. Mohsenin. 31st IEEE International System-on-Chip Conference (SOCC), 2018.
  [PDF]

2017

• An EEG Artifact Detection and Removal Technique for Embedded Processors
  R. Islam, W. D. Hairston, T. Oates, T. Mohsenin. IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2017.
  [PDF]

• A Scalable FPGA-based Accelerator for High-Throughput MCMC Algorithms
  M. Hosseini, R. Islam, A. Kulkarni, T. Mohsenin. IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2017.
  [PDF]

[* denotes equal contribution]