James R. Foulds

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 50

Top Topics

Mixed Membership

Variational Bayes

Recommender Systems

Top Venues

IEEE Data Eng. Bull.

Publications

Rashidul Islam, Shimei Pan, James R. Foulds
Fair Inference for Discrete Latent Variable Models: An Intersectional Approach. GoodIT (2024)
Philip Feldman, Aaron Dant, James R. Foulds
Killer Apps: Low-Speed, Large-Scale AI Weapons. CoRR (2024)
Munshi Mahbubur Rahman, Shimei Pan, James R. Foulds
Towards A Unifying Human-Centered AI Fairness Framework. GoodIT (2024)
Philip Feldman, Aaron Dant, James R. Foulds
Killer Apps: Low-Speed, Large-Scale AI Weapons. IUI Workshops (2024)
Philip Feldman, James R. Foulds, Shimei Pan
RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots. CoRR (2024)
Philip Feldman, Shimei Pan, James R. Foulds
The Keyword Explorer Suite: A Toolkit for Understanding Online Populations. IUI Companion (2023)
Philip Feldman, James R. Foulds, Shimei Pan
Trapping LLM Hallucinations Using Tagged Context Prompts. CoRR (2023)
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)
Philip Feldman, Shimei Pan, James R. Foulds
The Keyword Explorer Suite: A Toolkit for Understanding Online Populations. CoRR (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)
Fatema Hasan, Yulong Li, James R. Foulds, Shimei Pan, Bishwaranjan Bhattacharjee
Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings. CoRR (2023)
Rashidul Islam, Shimei Pan, James R. Foulds
Fair Inference for Discrete Latent Variable Models. CoRR (2022)
Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds
Neural Embedding Allocation: Distributed Representations of Topic Models. Comput. Linguistics 48 (4) (2022)
Philip Feldman, Aaron Dant, James R. Foulds, Shimei Pan
Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models. 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)
George J. Cancro, Shimei Pan, James R. Foulds
Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction. CoRR (2022)
Fatema Hasan, Kevin S. Xu, James R. Foulds, Shimei Pan
Learning User Embeddings from Temporal Social Media Data: A Survey. CoRR (2021)
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)
Shimei Pan, James R. Foulds
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 44 (4) (2021)
Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan
Analyzing COVID-19 Tweets with Transformer-based Language Models. CoRR (2021)
Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan
Analyzing COVID-19 Tweets with Transformer-based Language Models. ICWSM Workshops (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, Mijung Park, Kamalika Chaudhuri, Max Welling
Variational Bayes in Private Settings (VIPS) (Extended Abstract). IJCAI (2020)
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, Shimei Pan
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 43 (4) (2020)
Mijung Park, James R. Foulds, Kamalika Chaudhuri, Max Welling
Variational Bayes In Private Settings (VIPS). J. Artif. Intell. Res. 68 (2020)
James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan
Bayesian Modeling of Intersectional Fairness: The Variance of Bias. SDM (2020)
James R. Foulds, Shimei Pan
Are Parity-Based Notions of AI Fairness Desirable? IEEE Data Eng. Bull. 43 (4) (2020)
Ketki V. Deshpande, Shimei Pan, James R. Foulds
Mitigating Demographic Bias in AI-based Resume Filtering. UMAP (Adjunct Publication) (2020)
Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds
Equitable Allocation of Healthcare Resources with Fair Cox Models. CoRR (2020)
Guohou Shan, James R. Foulds, Shimei Pan
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification. CoRR (2020)
Rashidul Islam, James R. Foulds
Scalable Collapsed Inference for High-Dimensional Topic Models. NAACL-HLT (1) (2019)
Nilavra Pathak, James R. Foulds, Nirmalya Roy, Nilanjan Banerjee, Ryan W. Robucci
A Bayesian Data Analytics Approach to Buildings' Thermal Parameter Estimation. e-Energy (2019)
Nilavra Pathak, James R. Foulds, Nirmalya Roy, Nilanjan Banerjee, Ryan W. Robucci
Estimating Buildings' Parameters over Time Including Prior Knowledge. CoRR (2019)
Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds
Neural Embedding Allocation: Distributed Representations of Topic Models. CoRR (2019)
James R. Foulds, Shimei Pan
An Intersectional Definition of Fairness. CoRR (2018)
James R. Foulds, Rashidul Islam, Kamrun Keya, Shimei Pan
Bayesian Modeling of Intersectional Fairness: The Variance of Bias. CoRR (2018)
James R. Foulds
Mixed Membership Word Embeddings for Computational Social Science. AISTATS (2018)
Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin, Grigorios Tsoumakas
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA. J. Mach. Learn. Res. 18 (2017)
Mijung Park, James R. Foulds, Kamalika Choudhary, Max Welling
DP-EM: Differentially Private Expectation Maximization. AISTATS (2017)
James R. Foulds
Mixed Membership Word Embeddings for Computational Social Science. CoRR (2017)
Mijung Park, James R. Foulds, Kamalika Chaudhuri, Max Welling
Private Topic Modeling. CoRR (2016)
James R. Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. CoRR (2016)
James R. Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. UAI (2016)
Mijung Park, James R. Foulds, Kamalika Chaudhuri, Max Welling
Variational Bayes In Private Settings (VIPS). CoRR (2016)
Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker
Joint Models of Disagreement and Stance in Online Debate. ACL (1) (2015)
James R. Foulds, Shachi H. Kumar, Lise Getoor
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. ICML (2015)
Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. ICML (2015)
Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor
RELLY: Inferring Hypernym Relationships Between Relational Phrases. EMNLP (2015)
Shobeir Fakhraei, James R. Foulds, Madhusudana V. S. Shashanka, Lise Getoor
Collective Spammer Detection in Evolving Multi-Relational Social Networks. KDD (2015)
Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems. RecSys (2015)
Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor
Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. ACL (1) (2015)
James R. Foulds, Padhraic Smyth
Annealing Paths for the Evaluation of Topic Models. UAI (2014)
James R. Foulds, Padhraic Smyth
Modeling Scientific Impact with Topical Influence Regression. EMNLP (2013)
James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. KDD (2013)
James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation CoRR (2013)
James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander T. Ihler
Revisiting MAP Estimation, Message Passing and Perfect Graphs. AISTATS (2011)
James R. Foulds, Padhraic Smyth
Multi-Instance Mixture Models. SDM (2011)
James R. Foulds, Christopher DuBois, Arthur U. Asuncion, Carter T. Butts, Padhraic Smyth
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. AISTATS (2011)
Christopher DuBois, James R. Foulds, Padhraic Smyth
Latent Set Models for Two-Mode Network Data. ICWSM (2011)
James R. Foulds, Eibe Frank
A review of multi-instance learning assumptions. Knowl. Eng. Rev. 25 (1) (2010)
James R. Foulds, Eibe Frank
Speeding Up and Boosting Diverse Density Learning. Discovery Science (2010)
James R. Foulds, Eibe Frank
Revisiting Multiple-Instance Learning Via Embedded Instance Selection. Australasian Conference on Artificial Intelligence (2008)
James R. Foulds, Les R. Foulds
Bridge Lane Direction Specification for Sustainable Traffic Management. Asia Pac. J. Oper. Res. 23 (2) (2006)