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Rashidul Islam
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2020 – today
- 2024
- [c13]Rashidul Islam, Huiyuan Chen, Yiwei Cai:
Fairness without Demographics through Shared Latent Space-Based Debiasing. AAAI 2024: 12717-12725 - [c12]Rashidul Islam
, Shimei Pan
Fair Inference for Discrete Latent Variable Models: An Intersectional Approach. GoodIT 2024: 188-196 - [c11]Yuying Zhao
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW 2024: 1237-1248 - [i8]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 abs/2402.13495 (2024) - 2023
- [j2]Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate
Differential Fairness: An Intersectional Framework for Fair AI. Entropy 25(4): 660 (2023) - [j1]Clarice Wang
When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation. ACM Trans. Interact. Intell. Syst. 13(3): 17:1-17:28 (2023) - 2022
- [c10]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: 134-147 - [i7]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 abs/2204.13900 (2022) - [i6]Rashidul Islam, Shimei Pan, James R. Foulds:
Fair Inference for Discrete Latent Variable Models. CoRR abs/2209.07044 (2022) - 2021
- [c9]Rashidul Islam, Shimei Pan, James R. Foulds:
Can We Obtain Fairness For Free? AIES 2021: 586-596 - [c8]Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan:
Fair Representation Learning for Heterogeneous Information Networks. ICWSM 2021: 877-887 - [c7]Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds:
Equitable Allocation of Healthcare Resources with Fair Survival Models. SDM 2021: 190-198 - [c6]Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds:
Debiasing Career Recommendations with Neural Fair Collaborative Filtering. WWW 2021: 3779-3790 - [i5]Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan:
Fair Representation Learning for Heterogeneous Information Networks. CoRR abs/2104.08769 (2021) - [i4]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 abs/2106.07112 (2021) - 2020
- [c5]James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan:
An Intersectional Definition of Fairness. ICDE 2020: 1918-1921 - [c4]James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan:
Bayesian Modeling of Intersectional Fairness: The Variance of Bias. SDM 2020: 424-432 - [i3]Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds:
Neural Fair Collaborative Filtering. CoRR abs/2009.08955 (2020) - [i2]Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds:
Equitable Allocation of Healthcare Resources with Fair Cox Models. CoRR abs/2010.06820 (2020)
2010 – 2019
- 2019
- [c3]Rashidul Islam, James R. Foulds:
Scalable Collapsed Inference for High-Dimensional Topic Models. NAACL-HLT (1) 2019: 2836-2845 - 2018
- [c2]Morteza Hosseini, Rashidul Islam, Lahir Marni, Tinoosh Mohsenin:
MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers. SoCC 2018: 244-249 - [i1]James R. Foulds, Rashidul Islam, Kamrun Keya, Shimei Pan:
Bayesian Modeling of Intersectional Fairness: The Variance of Bias. CoRR abs/1811.07255 (2018) - 2017
- [c1]Morteza Hosseini, Rashidul Islam, Amey M. Kulkarni, Tinoosh Mohsenin:
A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms. FCCM 2017: 201
Coauthor Index
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last updated on 2024-08-23 18:31 CEST by the dblp team
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