James R. Foulds

Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024

Fair Inference for Discrete Latent Variable Models: An Intersectional Approach.

[BibT_eX]

[DOI]

Bishwaranjan Bhattacharjee

Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024

2023

When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Interact. Intell. Syst., September, 2023

Differential Fairness: An Intersectional Framework for Fair AI.

[BibT_eX]

[DOI]

Entropy, April, 2023

Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings.

[BibT_eX]

[DOI]

CoRR, 2023

Trapping LLM Hallucinations Using Tagged Context Prompts.

[BibT_eX]

[DOI]

Philip Feldman

CoRR, 2023

The Keyword Explorer Suite: A Toolkit for Understanding Online Populations.

[BibT_eX]

[DOI]

Philip Feldman

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

2022

Fair Inference for Discrete Latent Variable Models.

[BibT_eX]

[DOI]

CoRR, 2022

Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction.

[BibT_eX]

[DOI]

George J. Cancro

CoRR, 2022

Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Neural Embedding Allocation: Distributed Representations of Topic Models.

[BibT_eX]

[DOI]

Kamrun Naher Keya

Yannis Papanikolaou

Comput. Linguistics, 2022

Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

2021

Letter from the Special Issue Editor.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2021

Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations.

[BibT_eX]

[DOI]

CoRR, 2021

Learning User Embeddings from Temporal Social Media Data: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Debiasing Career Recommendations with Neural Fair Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Equitable Allocation of Healthcare Resources with Fair Survival Models.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Fair Representation Learning for Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Analyzing COVID-19 Tweets with Transformer-based Language Models.

[BibT_eX]

[DOI]

Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Can We Obtain Fairness For Free?

[BibT_eX]

[DOI]

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Variational Bayes In Private Settings (VIPS).

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2020

Are Parity-Based Notions of AI Fairness Desirable?

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2020

Equitable Allocation of Healthcare Resources with Fair Cox Models.

[BibT_eX]

[DOI]

CoRR, 2020

Causal Feature Selection with Dimension Reduction for Interpretable Text Classification.

[BibT_eX]

[DOI]

Guohou Shan

CoRR, 2020

Neural Fair Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2020

Mitigating Demographic Bias in AI-based Resume Filtering.

[BibT_eX]

[DOI]

Ketki V. Deshpande

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Bayesian Modeling of Intersectional Fairness: The Variance of Bias.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Variational Bayes in Private Settings (VIPS) (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An Intersectional Definition of Fairness.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Estimating Buildings' Parameters over Time Including Prior Knowledge.

[BibT_eX]

[DOI]

CoRR, 2019

Scalable Collapsed Inference for High-Dimensional Topic Models.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Bayesian Data Analytics Approach to Buildings' Thermal Parameter Estimation.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018

An Intersectional Definition of Fairness.

[BibT_eX]

[DOI]

CoRR, 2018

Mixed Membership Word Embeddings for Computational Social Science.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

DP-EM: Differentially Private Expectation Maximization.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Private Topic Modeling.

[BibT_eX]

[DOI]

CoRR, 2016

Practical Privacy For Expectation Maximization.

[BibT_eX]

[DOI]

CoRR, 2016

On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015

HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Collective Spammer Detection in Evolving Multi-Relational Social Networks.

[BibT_eX]

[DOI]

Shobeir Fakhraei

Madhusudana V. S. Shashanka

Lise Getoor

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models.

[BibT_eX]

[DOI]