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Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making

Oct 15, 2020
Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett

* 15 pages, 5 figures 

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Fair Data Integration

Jun 10, 2020
Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney


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Invariant Risk Minimization Games

Mar 18, 2020
Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar


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Joint Optimization of AI Fairness and Utility: A Human-Centered Approach

Feb 05, 2020
Yunfeng Zhang, Rachel K. E. Bellamy, Kush R. Varshney

* To appear in AIES 2020 proceedings 

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Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies

Dec 05, 2019
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman


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Preservation of Anomalous Subgroups On Machine Learning Transformed Data

Nov 09, 2019
Samuel C. Maina, Reginald E. Bryant, William O. Goal, Robert-Florian Samoilescu, Kush R. Varshney, Komminist Weldemariam

* 5 pages, 3 figures, 2 tables, submitted to icassp 2019 

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DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning

Oct 30, 2019
Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland

* Accepted at NeurIPS 2019 HCML Workshop 

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Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets

Oct 29, 2019
Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney

* NeurIPS 2019 Workshop on Fair ML for Health 

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An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy

Oct 17, 2019
Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush R. Varshney


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One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Sep 14, 2019
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovińá, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang


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How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?

Sep 08, 2019
Yaoli Mao, Dakuo Wang, Michael Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, AleksandraMojsilovińá


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Characterization of Overlap in Observational Studies

Jul 09, 2019
Fredrik D. Johansson, Dennis Wei, Michael Oberst, Tian Gao, Gabriel Brat, David Sontag, Kush R. Varshney


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Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning

Jun 05, 2019
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovińá

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1805.11648 

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Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines

May 08, 2019
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney


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Bias Mitigation Post-processing for Individual and Group Fairness

Dec 14, 2018
Pranay K. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri

* 5 pages, 4 figures 

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Understanding Unequal Gender Classification Accuracy from Face Images

Nov 30, 2018
Vidya Muthukumar, Tejaswini Pedapati, Nalini Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney


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TED: Teaching AI to Explain its Decisions

Nov 12, 2018
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

* This article leverages some content from arXiv:1805.11648 

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SimplerVoice: A Key Message & Visual Description Generator System for Illiteracy

Nov 03, 2018
Minh N. B. Nguyen, Samuel Thomas, Anne E. Gattiker, Sujatha Kashyap, Kush R. Varshney


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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Oct 03, 2018
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang

* 20 pages 

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Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach

Sep 22, 2018
Ravi Kiran Raman, Roman Vaculin, Michael Hind, Sekou L. Remy, Eleftheria K. Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney

* 16 pages, 8 figures 

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Teaching Meaningful Explanations

Sep 11, 2018
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

* 9 pages 

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Increasing Trust in AI Services through Supplier's Declarations of Conformity

Aug 22, 2018
Michael Hind, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, Kush R. Varshney


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Teaching machines to understand data science code by semantic enrichment of dataflow graphs

Jul 16, 2018
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney

* 8 pages, 7 figures. To appear at the KDD '18 workshop on Fragile Earth: Theory Guided Data Science to Enhance Scientific Discovery 

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Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018)

Jul 03, 2018
Been Kim, Kush R. Varshney, Adrian Weller


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Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory

Jun 25, 2018
Kush R. Varshney, Prashant Khanduri, Pranay Sharma, Shan Zhang, Pramod K. Varshney

* presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden 

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Topological Data Analysis of Decision Boundaries with Application to Model Selection

May 25, 2018
Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Krishnan Mody

* Reproducible software available, 17 pages, 10 figures, 12 tables 

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Fairness GAN

May 24, 2018
Prasanna Sattigeri, Samuel C. Hoffman, Vijil Chenthamarakshan, Kush R. Varshney


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Structure Learning from Time Series with False Discovery Control

May 24, 2018
Bernat Guillen Pegueroles, Bhanukiran Vinzamuri, Karthikeyan Shanmugam, Steve Hedden, Jonathan D. Moyer, Kush R. Varshney


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