James R. Foulds

Orcid: 0000-0003-0935-4182

According to our database1, James R. Foulds authored at least 60 papers between 2006 and 2024.

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Bibliography

2024
RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots.
CoRR, 2024

Killer Apps: Low-Speed, Large-Scale AI Weapons.
Proceedings of the Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), 2024

Towards A Unifying Human-Centered AI Fairness Framework.
Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024

Fair Inference for Discrete Latent Variable Models: An Intersectional Approach.
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.
ACM Trans. Interact. Intell. Syst., September, 2023

Differential Fairness: An Intersectional Framework for Fair AI.
Entropy, April, 2023

Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings.
CoRR, 2023

Trapping LLM Hallucinations Using Tagged Context Prompts.
CoRR, 2023

The Keyword Explorer Suite: A Toolkit for Understanding Online Populations.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

2022
Fair Inference for Discrete Latent Variable Models.
CoRR, 2022

Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction.
CoRR, 2022

Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models.
CoRR, 2022

Neural Embedding Allocation: Distributed Representations of Topic Models.
Comput. Linguistics, 2022

Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

2021
Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2021

Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations.
CoRR, 2021

Learning User Embeddings from Temporal Social Media Data: A Survey.
CoRR, 2021

Debiasing Career Recommendations with Neural Fair Collaborative Filtering.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Equitable Allocation of Healthcare Resources with Fair Survival Models.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Fair Representation Learning for Heterogeneous Information Networks.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Analyzing COVID-19 Tweets with Transformer-based Language Models.
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Can We Obtain Fairness For Free?
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Variational Bayes In Private Settings (VIPS).
J. Artif. Intell. Res., 2020

Are Parity-Based Notions of AI Fairness Desirable?
IEEE Data Eng. Bull., 2020

Equitable Allocation of Healthcare Resources with Fair Cox Models.
CoRR, 2020

Causal Feature Selection with Dimension Reduction for Interpretable Text Classification.
CoRR, 2020

Neural Fair Collaborative Filtering.
CoRR, 2020

Mitigating Demographic Bias in AI-based Resume Filtering.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Bayesian Modeling of Intersectional Fairness: The Variance of Bias.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Variational Bayes in Private Settings (VIPS) (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An Intersectional Definition of Fairness.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Estimating Buildings' Parameters over Time Including Prior Knowledge.
CoRR, 2019

Scalable Collapsed Inference for High-Dimensional Topic Models.
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.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018
An Intersectional Definition of Fairness.
CoRR, 2018

Mixed Membership Word Embeddings for Computational Social Science.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA.
J. Mach. Learn. Res., 2017

DP-EM: Differentially Private Expectation Maximization.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Private Topic Modeling.
CoRR, 2016

Practical Privacy For Expectation Maximization.
CoRR, 2016

On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Collective Spammer Detection in Evolving Multi-Relational Social Networks.
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.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

RELLY: Inferring Hypernym Relationships Between Relational Phrases.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Joint Models of Disagreement and Stance in Online Debate.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques.
PhD thesis, 2014

Annealing Paths for the Evaluation of Topic Models.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

2013
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Modeling Scientific Impact with Topical Influence Regression.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2011
Revisiting MAP Estimation, Message Passing and Perfect Graphs.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Multi-Instance Mixture Models.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Latent Set Models for Two-Mode Network Data.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

2010
A review of multi-instance learning assumptions.
Knowl. Eng. Rev., 2010

Speeding Up and Boosting Diverse Density Learning.
Proceedings of the Discovery Science - 13th International Conference, 2010

2008
Revisiting Multiple-Instance Learning Via Embedded Instance Selection.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2006
Bridge Lane Direction Specification for Sustainable Traffic Management.
Asia Pac. J. Oper. Res., 2006


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