Rashidul Islam

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Bayesian Modeling

Latent Variable Models

Top Venues

Publications

Rashidul Islam, Shimei Pan, James R. Foulds
Fair Inference for Discrete Latent Variable Models: An Intersectional Approach. GoodIT (2024)
Rashidul Islam, Huiyuan Chen, Yiwei Cai
Fairness without Demographics through Shared Latent Space-Based Debiasing. AAAI (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. CoRR (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW (2024)
Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan
When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation. ACM Trans. Interact. Intell. Syst. 13 (3) (2023)
Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate, James R. Foulds
Differential Fairness: An Intersectional Framework for Fair AI. Entropy 25 (4) (2023)
Rashidul Islam, Shimei Pan, James R. Foulds
Fair Inference for Discrete Latent Variable Models. CoRR (2022)
Tasnim Niger, Hasanur Rayhan, Rashidul Islam, Kazi Asif Abdullah Noor, Kamrul Hasan
Framework for Behavioral Disorder Detection Using Machine Learning and Application of Virtual Cognitive Behavioral Therapy in COVID-19 Pandemic. CoRR (2022)
Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan
Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation. IUI (2022)
Rashidul Islam, Shimei Pan, James R. Foulds
Can We Obtain Fairness For Free? AIES (2021)
Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds
Debiasing Career Recommendations with Neural Fair Collaborative Filtering. WWW (2021)
Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds
Equitable Allocation of Healthcare Resources with Fair Survival Models. SDM (2021)
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan
Fair Representation Learning for Heterogeneous Information Networks. ICWSM (2021)
Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan
Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations. CoRR (2021)
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan
Fair Representation Learning for Heterogeneous Information Networks. CoRR (2021)
James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan
An Intersectional Definition of Fairness. ICDE (2020)
Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds
Neural Fair Collaborative Filtering. CoRR (2020)
James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan
Bayesian Modeling of Intersectional Fairness: The Variance of Bias. SDM (2020)
Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds
Equitable Allocation of Healthcare Resources with Fair Cox Models. CoRR (2020)
Rashidul Islam, James R. Foulds
Scalable Collapsed Inference for High-Dimensional Topic Models. NAACL-HLT (1) (2019)
James R. Foulds, Rashidul Islam, Kamrun Keya, Shimei Pan
Bayesian Modeling of Intersectional Fairness: The Variance of Bias. CoRR (2018)
Morteza Hosseini, Rashidul Islam, Lahir Marni, Tinoosh Mohsenin
MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers. SoCC (2018)
Morteza Hosseini, Rashidul Islam, Amey M. Kulkarni, Tinoosh Mohsenin
A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms. FCCM (2017)