James R. Foulds

According to our database, James R. Foulds authored at least 58 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Philip Feldman, James R. Foulds, Shimei Pan

CoRR, 2024

Killer Apps: Low-Speed, Large-Scale AI Weapons.

Philip Feldman, Aaron Dant, James R. Foulds

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

2023

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

Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan

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

Differential Fairness: An Intersectional Framework for Fair AI.

Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate, James R. Foulds

Entropy, April, 2023

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

Fatema Hasan, Yulong Li, James R. Foulds, Shimei Pan, Bishwaranjan Bhattacharjee

CoRR, 2023

Trapping LLM Hallucinations Using Tagged Context Prompts.

Philip Feldman, James R. Foulds, Shimei Pan

CoRR, 2023

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

Philip Feldman, Shimei Pan, James R. Foulds

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

2022

Fair Inference for Discrete Latent Variable Models.

Rashidul Islam, Shimei Pan, James R. Foulds

CoRR, 2022

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

George J. Cancro, Shimei Pan, James R. Foulds

CoRR, 2022

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

Philip Feldman, Aaron Dant, James R. Foulds, Shimei Pan

CoRR, 2022

Neural Embedding Allocation: Distributed Representations of Topic Models.

Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds

Comput. Linguistics, 2022

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

Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan

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

2021

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

Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan

CoRR, 2021

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

Fatema Hasan, Kevin S. Xu, James R. Foulds, Shimei Pan

CoRR, 2021

Debiasing Career Recommendations with Neural Fair Collaborative Filtering.

Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds

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

Equitable Allocation of Healthcare Resources with Fair Survival Models.

Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds

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

Fair Representation Learning for Heterogeneous Information Networks.

Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan

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

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

Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan

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

Can We Obtain Fairness For Free?

Rashidul Islam, Shimei Pan, James R. Foulds

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

2020

Variational Bayes In Private Settings (VIPS).

Mijung Park, James R. Foulds, Kamalika Chaudhuri, Max Welling

J. Artif. Intell. Res., 2020

Are Parity-Based Notions of AI Fairness Desirable?

James R. Foulds, Shimei Pan

IEEE Data Eng. Bull., 2020

Letter from the Special Issue Editor.

James R. Foulds, Shimei Pan

IEEE Data Eng. Bull., 2020

Equitable Allocation of Healthcare Resources with Fair Cox Models.

Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds

CoRR, 2020

Causal Feature Selection with Dimension Reduction for Interpretable Text Classification.

Guohou Shan, James R. Foulds, Shimei Pan

CoRR, 2020

Neural Fair Collaborative Filtering.

Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds

CoRR, 2020

Mitigating Demographic Bias in AI-based Resume Filtering.

Ketki V. Deshpande, Shimei Pan, James R. Foulds

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

Bayesian Modeling of Intersectional Fairness: The Variance of Bias.

James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan

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

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

James R. Foulds, Mijung Park, Kamalika Chaudhuri, Max Welling

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

An Intersectional Definition of Fairness.

James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan

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

2019

Estimating Buildings' Parameters over Time Including Prior Knowledge.

Nilavra Pathak, James R. Foulds, Nirmalya Roy, Nilanjan Banerjee, Ryan W. Robucci

CoRR, 2019

Scalable Collapsed Inference for High-Dimensional Topic Models.

Rashidul Islam, James R. Foulds

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.

Nilavra Pathak, James R. Foulds, Nirmalya Roy, Nilanjan Banerjee, Ryan W. Robucci

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

2018

An Intersectional Definition of Fairness.

James R. Foulds, Shimei Pan

CoRR, 2018

Mixed Membership Word Embeddings for Computational Social Science.

James R. Foulds

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

2017

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

Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin, Grigorios Tsoumakas

J. Mach. Learn. Res., 2017

DP-EM: Differentially Private Expectation Maximization.

Mijung Park, James R. Foulds, Kamalika Choudhary, Max Welling

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

2016

Private Topic Modeling.

Mijung Park, James R. Foulds, Kamalika Chaudhuri, Max Welling

CoRR, 2016

Practical Privacy For Expectation Maximization.

Mijung Park, Jimmy Foulds, Kamalika Chaudhuri, Max Welling

CoRR, 2016

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

James R. Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri

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

2015

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

Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor

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

Collective Spammer Detection in Evolving Multi-Relational Social Networks.

Shobeir Fakhraei, James R. Foulds, 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.

Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu

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

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

James R. Foulds, Shachi H. Kumar, Lise Getoor

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

RELLY: Inferring Hypernym Relationships Between Relational Phrases.

Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Joint Models of Disagreement and Stance in Online Debate.

Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker

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.

Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor

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.

James Richard Foulds

PhD thesis, 2014

Annealing Paths for the Evaluation of Topic Models.

James R. Foulds, Padhraic Smyth

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

2013

Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation.

James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Modeling Scientific Impact with Topical Influence Regression.

James R. Foulds, Padhraic Smyth

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2011

Revisiting MAP Estimation, Message Passing and Perfect Graphs.

James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks.

James R. Foulds, Christopher DuBois, Arthur U. Asuncion, Carter T. Butts, Padhraic Smyth

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Multi-Instance Mixture Models.

James R. Foulds, Padhraic Smyth

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Latent Set Models for Two-Mode Network Data.

Christopher DuBois, James R. Foulds, Padhraic Smyth

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

2010

A review of multi-instance learning assumptions.

James R. Foulds, Eibe Frank

Knowl. Eng. Rev., 2010

Speeding Up and Boosting Diverse Density Learning.

James R. Foulds, Eibe Frank

Proceedings of the Discovery Science - 13th International Conference, 2010

2008

Revisiting Multiple-Instance Learning Via Embedded Instance Selection.

James R. Foulds, Eibe Frank

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2006

Bridge Lane Direction Specification for Sustainable Traffic Management.

James R. Foulds, Les R. Foulds

Asia Pac. J. Oper. Res., 2006