Kush R. Varshney
Orcid: 0000-0002-7376-5536Affiliations:
- IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
- Massachusetts Institute of Technology, Cambridge, MA, USA (former)
According to our database1,
Kush R. Varshney
authored at least 207 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Trustworthiness and Responsibility in AI - Causality, Learning, and Verification (Dagstuhl Seminar 24121).
Dagstuhl Reports, 2024
Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI.
CoRR, 2024
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI.
CoRR, 2024
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food.
CoRR, 2024
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
CoRR, 2024
CoRR, 2024
Evaluating the Impact of Skin Tone Representation on Out-of-Distribution Detection Performance in Dermatology.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
2023
Nat. Mac. Intell., June, 2023
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning.
npj Digit. Medicine, 2023
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models.
CoRR, 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions.
CoRR, 2023
Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Human-centered explainability for life sciences, healthcare, and medical informatics.
Patterns, 2022
Proc. ACM Hum. Comput. Interact., 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
J. Artif. Intell. Res., 2021
Entropy, 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness.
CoRR, 2021
CoRR, 2021
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI.
CoRR, 2021
Proceedings of the Persuasive Technology - 16th International Conference, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.
J. Mach. Learn. Res., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the FAT* '20: Conference on Fairness, 2020
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning.
Proceedings of the AMIA 2020, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds.
Proceedings of the Workshop on Artificial Intelligence Safety, 2020
2019
How Data ScientistsWork Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
Proc. ACM Hum. Comput. Interact., 2019
IBM J. Res. Dev., 2019
Fairness GAN: Generating datasets with fairness properties using a generative adversarial network.
IBM J. Res. Dev., 2019
Teaching AI agents ethical values using reinforcement learning and policy orchestration.
IBM J. Res. Dev., 2019
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias.
IBM J. Res. Dev., 2019
FactSheets: Increasing trust in AI services through supplier's declarations of conformity.
IBM J. Res. Dev., 2019
CoRR, 2019
CoRR, 2019
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets.
CoRR, 2019
An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy.
CoRR, 2019
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
CoRR, 2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.
CoRR, 2019
CoRR, 2019
Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact.
CoRR, 2019
Topological Data Analysis of Decision Boundaries with Application to Model Selection.
Proceedings of the 36th International Conference on Machine Learning, 2019
A Scalable Blockchain Approach for Trusted Computation and Verifiable Simulation in Multi-Party Collaborations.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2019
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2019
Constructing and Compressing Frames in Blockchain-based Verifiable Multi-party Computation.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis.
IEEE J. Sel. Top. Signal Process., 2018
CoRR, 2018
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network.
CoRR, 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.
CoRR, 2018
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Teaching machines to understand data science code by semantic enrichment of dataflow graphs.
CoRR, 2018
Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018).
CoRR, 2018
Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory.
CoRR, 2018
How an Electrical Engineer Became an Artificial Intelligence Researcher, a Multiphase Active Contours Analysis.
CoRR, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twelfth International Conference on Web and Social Media, 2018
Proceedings of the 2018 IEEE Data Science Workshop, 2018
Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Signal Process. Mag., 2017
IBM J. Res. Dev., 2017
IBM J. Res. Dev., 2017
Dataflow representation of data analyses: Toward a platform for collaborative data science.
IBM J. Res. Dev., 2017
How to foster innovation: A data-driven approach to measuring economic competitiveness.
IBM J. Res. Dev., 2017
Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017).
CoRR, 2017
On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products.
Big Data, 2017
Proceedings of the 2017 ACM on Web Science Conference, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 AAAI Spring Symposia, 2017
Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science.
Proceedings of the 2017 AAAI Spring Symposia, 2017
2016
Proceedings of the 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications.
CoRR, 2016
Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016).
CoRR, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 2016 Information Theory and Applications Workshop, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
Information retrieval, fusion, completion, and clustering for employee expertise estimation.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
ACM J. Data Inf. Qual., 2015
Big Data, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
2014
Encyclopedia of Social Network Analysis and Mining, 2014
IEEE Trans. Signal Process., 2014
Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing.
IEEE Signal Process. Mag., 2014
IEEE J. Sel. Top. Signal Process., 2014
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
CoRR, 2013
Proceedings of the Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013
2012
Generalization Error of Linear Discriminant Analysis in Spatially-Correlated Sensor Networks.
IEEE Trans. Signal Process., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Does selection bias blind performance diagnostics of business decision models? A case study in salesforce optimization.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the International Conference on Information Systems, 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks.
IEEE Trans. Signal Process., 2011
Proceedings of the Information Theory and Applications Workshop, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
2009
Proceedings of the 12th International Conference on Information Fusion, 2009
2008
IEEE Trans. Signal Process., 2008
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar.
IEEE Trans. Signal Process., 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007