Kush R. Varshney

266 papers A* 25A 6B 2C 7Misc 20Journal 155Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Steerability 360: A Toolkit for Steering Large Language Models. CoRR Erik Miehling, Karthikeyan Natesan Ramamurthy, Praveen Venkateswaran, Irene Ko, Pierre L. Dognin, Moninder Singh, Tejaswini Pedapati, Avinash Balakrishnan, Matthew Riemer, Dennis Wei, Inge Vejsbjerg, Elizabeth M. Daly, Kush R. Varshney
2026	J	`jnl`	Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions. CoRR Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao
2026	A*	`conf`	The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships? AAAI Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney
2025	J	`jnl`	A Task-Driven Human-AI Collaboration: When to Automate, When to Collaborate, When to Challenge. CoRR Saleh Afroogh, Kush R. Varshney, Jason D'Cruz
2025	J	`jnl`	AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources. CoRR Frank Bagehorn, Kristina Brimijoin, Elizabeth M. Daly, Jessica He, Michael Hind, Luis Garcés-Erice, Christopher Giblin, Ioana Giurgiu, Jacquelyn Martino, Rahul Nair, David Piorkowski, Ambrish Rawat, John T. Richards, Sean Rooney, Dhaval Salwala, Seshu Tirupathi, Peter Urbanetz, Kush R. Varshney, Inge Vejsbjerg, Mira L. Wolf-Bauwens
2025	J	`jnl`	Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs. CoRR Giulio Zizzo, Giandomenico Cornacchia, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Beat Buesser, Mark Purcell, Pin-Yu Chen, Prasanna Sattigeri, Kush R. Varshney
2025	J	`jnl`	Agentic AI Needs a Systems Theory. CoRR Erik Miehling, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Matthew Riemer, Djallel Bouneffouf, John T. Richards, Amit Dhurandhar, Elizabeth M. Daly, Michael Hind, Prasanna Sattigeri, Dennis Wei, Ambrish Rawat, Jasmina Gajcin, Werner Geyer
2025	J	`jnl`	An Annotated Reading of 'The Singer of Tales' in the LLM Era. CoRR Kush R. Varshney
2025	J	`jnl`	CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions. CoRR Isha Puri, Amit Dhurandhar, Tejaswini Pedapati, Kartikeyan Shanmugam, Dennis Wei, Kush R. Varshney
2025	Misc	`conf`	Contextual Value Alignment. ICASSP Pierre L. Dognin, Jesus Rios, Ronny Luss, Prasanna Sattigeri, Miao Liu, Inkit Padhi, Matthew Riemer, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2025	—	`conf`	Evaluating the Prompt Steerability of Large Language Models. NAACL (Long Papers) Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Kush R. Varshney, Eitan Farchi, Pierre L. Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu, Prasanna Sattigeri
2025	—	`conf`	Granite Guardian: Comprehensive LLM Safeguarding. NAACL (Industry Track) Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martín Santillán Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2025	J	`jnl`	Rethinking machine unlearning for large language models. Nat. Mac. Intell. Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Yuguang Yao, Chris Yuhao Liu, Xiaojun Xu, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu
2025	J	`jnl`	Scopes of Alignment. CoRR Kush R. Varshney, Zahra Ashktorab, Djallel Bouneffouf, Matthew Riemer, Justin D. Weisz
2025	J	`jnl`	Story Arena: A Multi-Agent Environment for Envisioning the Future of Software Engineering. CoRR Justin D. Weisz, Michael J. Muller, Kush R. Varshney
2025	J	`jnl`	The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships? CoRR Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney
2025	J	`jnl`	When trust is zero sum: automation's threat to epistemic agency. Ethics Inf. Technol. Emmie Malone, Saleh Afroogh, Jason D'Cruz, Kush R. Varshney
2025	J	`jnl`	Who's Sorry Now: User Preferences Among Rote, Empathic, and Explanatory Apologies from LLM Chatbots. CoRR Zahra Ashktorab, Alessandra Buccella, Jason D'Cruz, Zoe Fowler, Andrew Gill, Kei Yan Leung, P. D. Magnus, John T. Richards, Kush R. Varshney
2024	J	`jnl`	A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food. CoRR Conor M. Artman, Aditya Mate, Ezinne Nwankwo, Aliza Heching, Tsuyoshi Idé, Jirí Navrátil, Karthikeyan Shanmugam, Wei Sun, Kush R. Varshney, Lauri Goldkind, Gidi Kroch, Jaclyn Sawyer, Ian Watson
2024	J	`jnl`	Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney
2024	J	`jnl`	Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. IEEE Internet Comput. Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney
2024	J	`jnl`	Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI. CoRR Ambrish Rawat, Stefan Schoepf, Giulio Zizzo, Giandomenico Cornacchia, Muhammad Zaid Hameed, Kieran Fraser, Erik Miehling, Beat Buesser, Elizabeth M. Daly, Mark Purcell, Prasanna Sattigeri, Pin-Yu Chen, Kush R. Varshney
2024	A*	`conf`	ComVas: Contextual Moral Values Alignment System. IJCAI Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2024	J	`jnl`	Contextual Moral Value Alignment Through Context-Based Aggregation. CoRR Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2024	—	`conf`	Decolonial AI Alignment: Openness, Visesa-Dharma, and Including Excluded Knowledges. AIES (1) Kush R. Varshney
2024	J	`jnl`	Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici
2024	J	`jnl`	Empathy and the Right to Be an Exception: What LLMs Can and Cannot Do. CoRR William Kidder, Jason D'Cruz, Kush R. Varshney
2024	—	`conf`	Evaluating the Impact of Skin Tone Representation on Out-of-Distribution Detection Performance in Dermatology. ISBI Assala Benmalek, Celia Cintas, Girmaw Abebe Tadesse, Roxana Daneshjou, Kush R. Varshney, Dalila Cherifi
2024	J	`jnl`	Granite Guardian. CoRR Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martin Santillan Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Zahra Ashktorab, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2024	J	`jnl`	Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI. CoRR Hangzhi Guo, Pranav Narayanan Venkit, Eunchae Jang, Mukund Srinath, Wenbo Zhang, Bonam Mingole, Vipul Gupta, Kush R. Varshney, S. Shyam Sundar, Amulya Yadav
2024	—	`conf`	Individual Fairness in Graphs Using Local and Global Structural Information. AIES (1) Yonas Sium, Qi Li, Kush R. Varshney
2024	—	`conf`	Racial and Neighborhood Disparities in Legal Financial Obligations in Jefferson County, Alabama. AIES (1) Óscar Lara Yejas, Aakanksha Joshi, Andrew Martinez, Leah Nelson, Skyler Speakman, Krysten Thompson, Yuki Nishimura, Jordan Bond, Kush R. Varshney
2024	J	`jnl`	Rethinking Machine Unlearning for Large Language Models. CoRR Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu
2024	J	`jnl`	Trustworthiness and Responsibility in AI - Causality, Learning, and Verification (Dagstuhl Seminar 24121). Dagstuhl Reports Vaishak Belle, Hana Chockler, Shannon Vallor, Kush R. Varshney, Joost Vennekens, Sander Beckers
2024	A*	`conf`	Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa. IJCAI Victor Akinwande, Megan MacGregor, Celia Cintas, Ehud Karavani, Dennis Wei, Kush R. Varshney, Pablo A. Nepomnaschy
2024	—	`conf`	Value Alignment from Unstructured Text. EMNLP (Industry Track) Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney
2024	J	`jnl`	Value Alignment from Unstructured Text. CoRR Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney
2024	J	`jnl`	When Trust is Zero Sum: Automation Threat to Epistemic Agency. CoRR Emmie Malone, Saleh Afroogh, Jason D'Cruz, Kush R. Varshney
2023	—	`conf`	A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165. IUI Workshops Kush R. Varshney, Lav R. Varshney
2023	—	`conf`	Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness. FAccT Brianna Richardson, Prasanna Sattigeri, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Amit Dhurandhar, Juan E. Gilbert
2023	J	`jnl`	Decolonial AI Alignment: Viśesadharma, Argument, and Artistic Expression. CoRR Kush R. Varshney
2023	A*	`conf`	Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. AAAI Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
2023	J	`jnl`	Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions. CoRR Manish Nagireddy, Moninder Singh, Samuel C. Hoffman, Evaline Ju, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2023	J	`jnl`	Humble AI. Commun. ACM Bran Knowles, Jason D'Cruz, John T. Richards, Kush R. Varshney
2023	J	`jnl`	Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models. CoRR Ioana Baldini, Chhavi Yadav, Payel Das, Kush R. Varshney
2023	A*	`conf`	Minimax AUC Fairness: Efficient Algorithm with Provable Convergence. AAAI Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney, Yiming Ying
2023	J	`jnl`	Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digit. Medicine Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter W. J. Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou
2023	J	`jnl`	The incentive gap in data work in the era of large models. Nat. Mac. Intell. Katy Ilonka Gero, Payel Das, Pierre L. Dognin, Inkit Padhi, Prasanna Sattigeri, Kush R. Varshney
2023	J	`jnl`	Towards Healthy AI: Large Language Models Need Therapists Too. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney
2023	—	`conf`	Trustworthy AI and the Logics of Intersectional Resistance. FAccT Bran Knowles, Jasmine Fledderjohann, John T. Richards, Kush R. Varshney
2023	A*	`conf`	What Is Missing in IRM Training and Evaluation? Challenges and Solutions. ICLR Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu
2023	J	`jnl`	What Is Missing in IRM Training and Evaluation? Challenges and Solutions. CoRR Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu
2022	A*	`conf`	AI Explainability 360: Impact and Design. AAAI Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2022	—	`conf`	Causal Feature Selection for Algorithmic Fairness. SIGMOD Conference Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
2022	J	`jnl`	Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. Proc. ACM Hum. Comput. Interact. Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett
2022	J	`jnl`	Differentially Private SGDA for Minimax Problems. CoRR Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying
2022	A	`conf`	Differentially private SGDA for minimax problems. UAI Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying
2022	J	`jnl`	Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. CoRR Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
2022	A*	`conf`	Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting. NeurIPS Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney
2022	J	`jnl`	Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting. CoRR Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney
2022	J	`jnl`	Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed F. Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer
2022	J	`jnl`	Humble Machines: Attending to the Underappreciated Costs of Misplaced Distrust. CoRR Bran Knowles, Jason D'Cruz, John T. Richards, Kush R. Varshney
2022	J	`jnl`	Minimax AUC Fairness: Efficient Algorithm with Provable Convergence. CoRR Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney, Yiming Ying
2022	A*	`conf`	On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach. NeurIPS Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth Daly, Moninder Singh
2022	J	`jnl`	On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach. CoRR Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth M. Daly, Moninder Singh
2022	—	`conf`	Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning. ISBI Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney
2022	—	`conf`	Uncertainty Quantification 360: A Hands-on Tutorial. COMAD/CODS Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang
2021	J	`jnl`	A Human-Centered Methodology for Creating AI FactSheets. IEEE Data Eng. Bull. John T. Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilovic, Kush R. Varshney
2021	—	`conf`	AI Explainability 360 Toolkit. COMAD/CODS Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2021	J	`jnl`	AI Explainability 360: Impact and Design. CoRR Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2021	J	`jnl`	An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness. CoRR Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney, Reginald E. Bryant
2021	J	`jnl`	Automated Meta-Analysis: A Causal Learning Perspective. CoRR Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini
2021	C	`conf`	Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds. AIES Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex 'Sandy' Pentland, Kush R. Varshney, Adrian Weller
2021	—	`conf`	Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021	J	`jnl`	Biomedical Interpretable Entity Representations. CoRR Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021	A*	`conf`	CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions. NeurIPS Isha Puri, Amit Dhurandhar, Tejaswini Pedapati, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney
2021	B	`conf`	Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. PERSUASIVE Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind
2021	J	`jnl`	Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. CoRR Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind
2021	A*	`conf`	Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. ICLR Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney
2021	A*	`conf`	Exploring the Efficacy of Generic Drugs in Treating Cancer. AAAI Ioana Baldini, Mariana Bernagozzi, Sulbha Aggarwal, Mihaela A. Bornea, Saksham Chawla, Joppe Geluykens, Dmitriy A. Katz-Rogozhnikov, Pratik Mukherjee, Smruthi Ramesh, Sara Rosenthal, Jagrati Sharma, Kush R. Varshney, Laura B. Kleiman, Pradeep Mangalath, Catherine Del Vecchio Fitz
2021	J	`jnl`	Human-Centered Explainable AI (XAI): From Algorithms to User Experiences. CoRR Q. Vera Liao, Kush R. Varshney
2021	J	`jnl`	Insiders and Outsiders in Research on Machine Learning and Society. CoRR Yu Tao, Kush R. Varshney
2021	J	`jnl`	Interventional Fairness with Indirect Knowledge of Unobserved Protected Attributes. Entropy Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
2021	J	`jnl`	Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning. CoRR Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney
2021	Misc	`conf`	Racial Representation Analysis in Dermatology Academic Materials. AMIA Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter W. J. Staar, Skyler Speakman, Kenya S. Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou
2021	J	`jnl`	Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. CoRR Lu Cheng, Kush R. Varshney, Huan Liu
2021	J	`jnl`	Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. J. Artif. Intell. Res. Lu Cheng, Kush R. Varshney, Huan Liu
2021	—	`conf`	The Empathy Gap: Why AI Can Forecast Behavior But Cannot Assess Trustworthiness. TFSOCTAI@AAAI Fall Symposium Jason D'Cruz, William Kidder, Kush R. Varshney
2021	J	`jnl`	Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention. CoRR Kahini Wadhawan, Payel Das, Barbara A. Han, Ilya R. Fischhoff, Adrian C. Castellanos, Arvind Varsani, Kush R. Varshney
2021	Misc	`conf`	Treatment Effect Estimation Using Invariant Risk Minimization. ICASSP Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar
2021	J	`jnl`	Treatment Effect Estimation using Invariant Risk Minimization. CoRR Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar
2021	J	`jnl`	Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI. CoRR Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang
2020	A*	`conf`	A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications. AAAI 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
2020	J	`jnl`	AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. J. Mach. Learn. Res. Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2020	—	`conf`	AI explainability 360: hands-on tutorial. FAT* Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2020	A	`conf`	Characterization of Overlap in Observational Studies. AISTATS Michael Oberst, Fredrik D. Johansson, Dennis Wei, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney
2020	C	`conf`	Data Augmentation for Discrimination Prevention and Bias Disambiguation. AIES Shubham Sharma, Yunfeng Zhang, Jesús M. Ríos Aliaga, Djallel Bouneffouf, Vinod Muthusamy, Kush R. Varshney
2020	J	`jnl`	Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making. CoRR Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett
2020	J	`jnl`	Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. CoRR Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney
2020	A*	`conf`	Event-Driven Continuous Time Bayesian Networks. AAAI Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian
2020	—	`conf`	Experiences with Improving the Transparency of AI Models and Services. CHI Extended Abstracts Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney
2020	J	`jnl`	Fair Data Integration. CoRR Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney
2020	—	`conf`	Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. SafeAI@AAAI Michiel A. Bakker, Humberto Riverón Valdés, Duy Patrick Tu, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland
2020	—	`conf`	Fairness of Classifiers Across Skin Tones in Dermatology. MICCAI (6) Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney
2020	Misc	`conf`	Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning. AMIA William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott, Charity Wayua, Komminist Weldemariam, Claire-Helene Mershon, Nosa Orobaton
2020	A*	`conf`	Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health. IJCAI William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam
2020	—	`conf`	Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines. CHIL Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
2020	A*	`conf`	Invariant Risk Minimization Games. ICML Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
2020	J	`jnl`	Invariant Risk Minimization Games. CoRR Kartik Ahuja, Karthikeyan Shanmugam, Kush R. Varshney, Amit Dhurandhar
2020	A*	`conf`	Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing. ICML Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush R. Varshney
2020	C	`conf`	Joint Optimization of AI Fairness and Utility: A Human-Centered Approach. AIES Yunfeng Zhang, Rachel K. E. Bellamy, Kush R. Varshney
2020	J	`jnl`	Joint Optimization of AI Fairness and Utility: A Human-Centered Approach. CoRR Yunfeng Zhang, Rachel K. E. Bellamy, Kush R. Varshney
2020	J	`jnl`	Learning to Initialize Gradient Descent Using Gradient Descent. CoRR Kartik Ahuja, Amit Dhurandhar, Kush R. Varshney
2020	Misc	`conf`	On Mismatched Detection and Safe, Trustworthy Machine Learning. CISS Kush R. Varshney
2020	Misc	`conf`	Preservation of Anomalous Subgroups On Variational Autoencoder Transformed Data. ICASSP Samuel C. Maina, Reginald E. Bryant, William O. Ogallo, Kush R. Varshney, Skyler Speakman, Celia Cintas, Aisha Walcott-Bryant, Robert-Florian Samoilescu, Komminist Weldemariam
2020	J	`jnl`	Trust and Transparency in Contact Tracing Applications. CoRR Stacy Hobson, Michael Hind, Aleksandra Mojsilovic, Kush R. Varshney
2020	A*	`conf`	Tutorial on Human-Centered Explainability for Healthcare. KDD Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney
2019	—	`conf`	A Scalable Blockchain Approach for Trusted Computation and Verifiable Simulation in Multi-Party Collaborations. IEEE ICBC Ravi Kiran Raman, Roman Vaculín, Michael Hind, Sekou L. Remy, Eleftheria Kyriaki Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney
2019	J	`jnl`	A big data approach to computational creativity: The curious case of Chef Watson. IBM J. Res. Dev. Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee
2019	J	`jnl`	AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. IBM J. Res. Dev. 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 T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
2019	J	`jnl`	An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy. CoRR Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush R. Varshney
2019	Misc	`conf`	Bias Mitigation Post-processing for Individual and Group Fairness. ICASSP Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri
2019	J	`jnl`	Characterization of Overlap in Observational Studies. CoRR Fredrik D. Johansson, Dennis Wei, Michael Oberst, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney
2019	Misc	`conf`	Constructing and Compressing Frames in Blockchain-based Verifiable Multi-party Computation. ICASSP Ravi Kiran Raman, Kush R. Varshney, Roman Vaculín, Nelson Kibichii Bore, Sekou L. Remy, Eleftheria Kyriaki Pissadaki, Michael Hind
2019	J	`jnl`	DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning. CoRR Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland
2019	J	`jnl`	Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies. CoRR Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman
2019	J	`jnl`	Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets. CoRR Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney
2019	J	`jnl`	Experiences with Improving the Transparency of AI Models and Services. CoRR Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney
2019	J	`jnl`	FactSheets: Increasing trust in AI services through supplier's declarations of conformity. IBM J. Res. Dev. Matthew Arnold, Rachel K. E. Bellamy, Michael Hind, Stephanie Houde, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, David Piorkowski, Darrell Reimer, John T. Richards, Jason Tsay, Kush R. Varshney
2019	C	`conf`	Fair Transfer Learning with Missing Protected Attributes. AIES Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty
2019	J	`jnl`	Fairness GAN: Generating datasets with fairness properties using a generative adversarial network. IBM J. Res. Dev. Prasanna Sattigeri, Samuel C. Hoffman, Vijil Chenthamarakshan, Kush R. Varshney
2019	J	`jnl`	How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question? CoRR Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
2019	J	`jnl`	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. Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
2019	J	`jnl`	Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines. CoRR Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
2019	J	`jnl`	One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. CoRR Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2019	J	`jnl`	Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact. CoRR Kush R. Varshney, Aleksandra Mojsilovic
2019	J	`jnl`	Preservation of Anomalous Subgroups On Machine Learning Transformed Data. CoRR Samuel C. Maina, Reginald E. Bryant, William O. Goal, Robert-Florian Samoilescu, Kush R. Varshney, Komminist Weldemariam
2019	—	`conf`	Promoting Distributed Trust in Machine Learning and Computational Simulation. IEEE ICBC Nelson Kibichii Bore, Ravi Kiran Raman, Isaac M. Markus, Sekou L. Remy, Oliver Bent, Michael Hind, Eleftheria Kyriaki Pissadaki, Biplav Srivastava, Roman Vaculín, Kush R. Varshney, Komminist Weldemariam
2019	C	`conf`	TED: Teaching AI to Explain its Decisions. AIES Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2019	A*	`conf`	Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
2019	J	`jnl`	Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
2019	J	`jnl`	Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning. CoRR Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
2019	J	`jnl`	Think Your Artificial Intelligence Software Is Fair? Think Again. IEEE Softw. Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
2019	A*	`conf`	Topological Data Analysis of Decision Boundaries with Application to Model Selection. ICML Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Krishnan Mody
2019	J	`jnl`	Trustworthy machine learning and artificial intelligence. XRDS Kush R. Varshney
2018	J	`jnl`	AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. CoRR 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 T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
2018	A*	`conf`	Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search. AAAI Jonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush R. Varshney
2018	J	`jnl`	Bias Mitigation Post-processing for Individual and Group Fairness. CoRR Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri
2018	J	`jnl`	Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis. IEEE J. Sel. Top. Signal Process. Flávio du Pin Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2018	J	`jnl`	Distribution-preserving k-anonymity. Stat. Anal. Data Min. Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2018	J	`jnl`	Fairness GAN. CoRR Prasanna Sattigeri, Samuel C. Hoffman, Vijil Chenthamarakshan, Kush R. Varshney
2018	—	`conf`	False Discovery Rate Control with Concave Penalties Using Stability Selection. DSW Bhanukiran Vinzamuri, Kush R. Varshney
2018	J	`jnl`	How an Electrical Engineer Became an Artificial Intelligence Researcher, a Multiphase Active Contours Analysis. CoRR Kush R. Varshney
2018	J	`jnl`	Increasing Trust in AI Services through Supplier's Declarations of Conformity. CoRR Michael Hind, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, Kush R. Varshney
2018	J	`jnl`	Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. CoRR Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
2018	—	`ch.`	Legislative Prediction with Political and Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
2018	J	`jnl`	Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018). CoRR Been Kim, Kush R. Varshney, Adrian Weller
2018	J	`jnl`	Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network. CoRR Nelson Kibichii Bore, Ravi Kiran Raman, Isaac M. Markus, Sekou L. Remy, Oliver Bent, Michael Hind, Eleftheria Kyriaki Pissadaki, Biplav Srivastava, Roman Vaculín, Kush R. Varshney, Komminist Weldemariam
2018	A*	`conf`	Semantic Representation of Data Science Programs. IJCAI Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2018	J	`jnl`	SimplerVoice: A Key Message & Visual Description Generator System for Illiteracy. CoRR Minh N. B. Nguyen, Samuel Thomas, Anne E. Gattiker, Sujatha Kashyap, Kush R. Varshney
2018	J	`jnl`	Structure Learning from Time Series with False Discovery Control. CoRR Bernat Guillen Pegueroles, Bhanukiran Vinzamuri, Karthikeyan Shanmugam, Steve Hedden, Jonathan D. Moyer, Kush R. Varshney
2018	J	`jnl`	TED: Teaching AI to Explain its Decisions. CoRR Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
2018	J	`jnl`	Teaching Meaningful Explanations. CoRR Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
2018	J	`jnl`	Teaching machines to understand data science code by semantic enrichment of dataflow graphs. CoRR Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2018	A	`conf`	The Effect of Extremist Violence on Hateful Speech Online. ICWSM Alexandra Olteanu, Carlos Castillo, Jeremy Boy, Kush R. Varshney
2018	J	`jnl`	The Effect of Extremist Violence on Hateful Speech Online. CoRR Alexandra Olteanu, Carlos Castillo, Jeremy Boy, Kush R. Varshney
2018	J	`jnl`	Topological Data Analysis of Decision Boundaries with Application to Model Selection. CoRR Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Krishnan Mody
2018	J	`jnl`	Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach. CoRR Ravi Kiran Raman, Roman Vaculín, Michael Hind, Sekou L. Remy, Eleftheria Kyriaki Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney
2018	J	`jnl`	Understanding Unequal Gender Classification Accuracy from Face Images. CoRR Vidya Muthukumar, Tejaswini Pedapati, Nalini K. Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney
2018	J	`jnl`	Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory. CoRR Kush R. Varshney, Prashant Khanduri, Pranay Sharma, Shan Zhang, Pramod K. Varshney
2017	J	`jnl`	An End-To-End Machine Learning Pipeline That Ensures Fairness Policies. CoRR Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta, Kush R. Varshney, Karthikeyan Natesan Ramamurthy, Dennis Wei
2017	J	`jnl`	Dataflow representation of data analyses: Toward a platform for collaborative data science. IBM J. Res. Dev. Evan Patterson, Robert N. McBurney, H. Schmidt, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2017	J	`jnl`	Decision Making With Quantized Priors Leads to Discrimination. Proc. IEEE Lav R. Varshney, Kush R. Varshney
2017	J	`jnl`	Distribution-Preserving k-Anonymity. CoRR Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2017	J	`jnl`	Effectiveness of peer detailing in a diarrhea program in Nigeria. IBM J. Res. Dev. Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Jan Houdek, M. Abubakar, Abdulwahab Alharbi, Tiwadayo Braimoh, N. Ihebuzor, Aleksandra Mojsilovic, Kush R. Varshney
2017	J	`jnl`	How to foster innovation: A data-driven approach to measuring economic competitiveness. IBM J. Res. Dev. Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney
2017	—	`conf`	Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science. AAAI Spring Symposia Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2017	J	`jnl`	Neurology-as-a-Service for the Developing World. CoRR Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels
2017	J	`jnl`	On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products. Big Data Kush R. Varshney, Homa Alemzadeh
2017	J	`jnl`	Optimized Data Pre-Processing for Discrimination Prevention. CoRR Flávio du Pin Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2017	—	`conf`	Optimized Pre-Processing for Discrimination Prevention. NIPS Flávio P. Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2017	J	`jnl`	Positive-Unlabeled Demand-Aware Recommendation. CoRR Jinfeng Yi, Cho-Jui Hsieh, Kush R. Varshney, Lijun Zhang, Yao Li
2017	J	`jnl`	Preface: Data Science for Social Good. IBM J. Res. Dev. Aleksandra Mojsilovic, Kush R. Varshney
2017	J	`jnl`	Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017). CoRR Been Kim, Dmitry M. Malioutov, Kush R. Varshney, Adrian Weller
2017	J	`jnl`	Real-time understanding of humanitarian crises via targeted information retrieval. IBM J. Res. Dev. Kien Pham, Prasanna Sattigeri, Amit Dhurandhar, Arpith C. Jacob, Maja Vukovic, Patrice Chataigner, Juliana Freire, Aleksandra Mojsilovic, Kush R. Varshney
2017	—	`conf`	Scalable Demand-Aware Recommendation. NIPS Jinfeng Yi, Cho-Jui Hsieh, Kush R. Varshney, Lijun Zhang, Yao Li
2017	J	`jnl`	Signal Processing for Social Good [In the Spotlight]. IEEE Signal Process. Mag. Kush R. Varshney
2017	—	`conf`	Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments. AAAI Spring Symposia Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Kush R. Varshney, Aleksandra Mojsilovic
2017	—	`conf`	The Limits of Abstract Evaluation Metrics: The Case of Hate Speech Detection. WebSci Alexandra Olteanu, Kartik Talamadupula, Kush R. Varshney
2017	J	`jnl`	Understanding the ecospace of philanthropic projects. IBM J. Res. Dev. H. Lamba, M. E. Helander, Moninder Singh, N. Lethif, Achyutram Bhamidipaty, S. A. Baset, Aleksandra Mojsilovic, Kush R. Varshney
2016	—	`conf`	Dynamic matrix factorization with social influence. MLSP Aleksandr Y. Aravkin, Kush R. Varshney, Liu Yang
2016	J	`jnl`	Dynamic matrix factorization with social influence. CoRR Aleksandr Y. Aravkin, Kush R. Varshney, Liu Yang
2016	J	`jnl`	Engineering Safety in Machine Learning. CoRR Kush R. Varshney
2016	Misc	`conf`	Engineering safety in machine learning. ITA Kush R. Varshney
2016	Misc	`conf`	Fidelity loss in distribution-preserving anonymization and histogram equalization. CISS Lav R. Varshney, Kush R. Varshney
2016	—	`conf`	Information retrieval, fusion, completion, and clustering for employee expertise estimation. IEEE BigData Raya Horesh, Kush R. Varshney, Jinfeng Yi
2016	J	`jnl`	Interpretable Two-level Boolean Rule Learning for Classification. CoRR Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov
2016	—	`conf`	Interpretable machine learning via convex cardinal shape composition. Allerton Kush R. Varshney
2016	—	`conf`	Learning sparse two-level boolean rules. MLSP Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov
2016	J	`jnl`	Olfactory signal processing. Digit. Signal Process. Kush R. Varshney, Lav R. Varshney
2016	J	`jnl`	On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products. CoRR Kush R. Varshney, Homa Alemzadeh
2016	J	`jnl`	Proceedings of the 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications. CoRR Kush R. Varshney
2016	J	`jnl`	Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016). CoRR Been Kim, Dmitry M. Malioutov, Kush R. Varshney
2016	—	`conf`	Stable estimation of Granger-causal factors of country-level innovation. GlobalSIP Aurélie C. Lozano, Prasanna Sattigeri, Aleksandra Mojsilovic, Kush R. Varshney
2016	J	`jnl`	Understanding Innovation to Drive Sustainable Development. CoRR Prasanna Sattigeri, Aurélie C. Lozano, Aleksandra Mojsilovic, Kush R. Varshney, Mahmoud Naghshineh
2015	A	`conf`	Assessing Expertise in the Enterprise: The Recommender Point of View. RecSys Aleksandra Mojsilovic, Kush R. Varshney
2015	J	`jnl`	Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond. ACM J. Data Inf. Qual. Kush R. Varshney, Dennis Wei, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
2015	A	`conf`	Health Insurance Market Risk Assessment: Covariate Shift and k-Anonymity. SDM Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2015	J	`jnl`	Interpretable Two-level Boolean Rule Learning for Classification. CoRR Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov
2015	Misc	`conf`	Learning interpretable classification rules using sequential rowsampling. ICASSP Sanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney
2015	—	`conf`	Optigrow: People Analytics for Job Transfers. BigData Congress Dennis Wei, Kush R. Varshney, Marcy Wagman
2015	Misc	`conf`	Persistent topology of decision boundaries. ICASSP Kush R. Varshney, Karthikeyan Natesan Ramamurthy
2015	Misc	`conf`	Robust binary hypothesis testing under contaminated likelihoods. ICASSP Dennis Wei, Kush R. Varshney
2015	J	`jnl`	Targeting Villages for Rural Development Using Satellite Image Analysis. Big Data Kush R. Varshney, George H. Chen, Brian Abelson, Kendall Nowocin, Vivek Sakhrani, Ling Xu, Brian L. Spatocco
2014	—	`conf`	Active odor cancellation. SSP Kush R. Varshney, Lav R. Varshney
2014	J	`jnl`	Bounded Confidence Opinion Dynamics in a Social Network of Bayesian Decision Makers. IEEE J. Sel. Top. Signal Process. Kush R. Varshney
2014	J	`jnl`	Collaborative Kalman Filtering for Dynamic Matrix Factorization. IEEE Trans. Signal Process. John Z. Sun, Dhruv Parthasarathy, Kush R. Varshney
2014	—	`conf`	Computing persistent homology under random projection. SSP Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Jayaraman J. Thiagarajan
2014	—	`conf`	FOOD steganography with olfactory white. SSP Kush R. Varshney, Lav R. Varshney
2014	—	`ch.`	Legislative Prediction with Political and Social Network Analysis. Encyclopedia of Social Network Analysis and Mining Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
2014	J	`jnl`	Olfactory Signals and Systems. CoRR Kush R. Varshney, Lav R. Varshney
2014	J	`jnl`	Optimal Grouping for Group Minimax Hypothesis Testing. IEEE Trans. Inf. Theory Kush R. Varshney, Lav R. Varshney
2014	A*	`conf`	Predicting employee expertise for talent management in the enterprise. KDD Kush R. Varshney, Vijil Chenthamarakshan, Scott W. Fancher, Jun Wang, DongPing Fang, Aleksandra Mojsilovic
2014	J	`jnl`	Robust Binary Hypothesis Testing Under Contaminated Likelihoods. CoRR Dennis Wei, Kush R. Varshney
2014	Misc	`conf`	Screening for learning classification rules via Boolean compressed sensing. ICASSP Sanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney
2014	J	`jnl`	Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing. IEEE Signal Process. Mag. Müjdat Çetin, Ivana Stojanovic, N. Özben Önhon, Kush R. Varshney, Sadegh Samadi, William Clement Karl, Alan S. Willsky
2014	A*	`conf`	Targeting direct cash transfers to the extremely poor. KDD Brian Abelson, Kush R. Varshney, Joy Sun
2013	J	`jnl`	A Big Data Approach to Computational Creativity. CoRR Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee
2013	B	`conf`	Balancing lifetime and classification accuracy of wireless sensor networks. MobiHoc Kush R. Varshney, Peter M. van de Ven
2013	J	`jnl`	Bounded Confidence Opinion Dynamics in a Social Network of Bayesian Decision Makers. CoRR Kush R. Varshney
2013	—	`conf`	Cognition as a part of computational creativity. ICCI*CC Lav R. Varshney, Florian Pinel, Kush R. Varshney, Angela Schörgendorfer, Yi-Min Chee
2013	—	`conf`	Exact Rule Learning via Boolean Compressed Sensing. ICML (3) Dmitry M. Malioutov, Kush R. Varshney
2013	J	`jnl`	Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data. CoRR Kush R. Varshney, Lav R. Varshney, Jun Wang, Daniel Myers
2013	Misc	`conf`	Opinion dynamics with bounded confidence in the Bayes risk error divergence sense. ICASSP Kush R. Varshney
2013	J	`jnl`	Optimal Grouping for Group Minimax Hypothesis Testing. CoRR Kush R. Varshney, Lav R. Varshney
2013	J	`jnl`	Practical Ensemble Classification Error Bounds for Different Operating Points. IEEE Trans. Knowl. Data Eng. Kush R. Varshney, Ryan J. Prenger, Tracy L. Marlatt, Barry Y. Chen, William G. Hanley
2013	—	`conf`	Prescriptive Analytics for Allocating Sales Teams to Opportunities. ICDM Workshops Ban Kawas, Mark S. Squillante, Dharmashankar Subramanian, Kush R. Varshney
2013	—	`conf`	Quantifying and Recommending Expertise When New Skills Emerge. ICDM Workshops DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer
2013	—	`conf`	Quantile regression for workforce analytics. GlobalSIP Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Moninder Singh
2012	—	`conf`	An Analytics Approach for Proactively Combating Voluntary Attrition of Employees. ICDM Workshops Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Alisia R. Gill, Patricia I. Faur, Raphael Ezry
2012	J	`jnl`	Balancing Lifetime and Classification Accuracy of Wireless Sensor Networks CoRR Kush R. Varshney, Peter M. van de Ven
2012	—	`conf`	Decision trees for heterogeneous dose-response signal analysis. SSP Kush R. Varshney, Moninder Singh, Jun Wang
2012	—	`conf`	Does selection bias blind performance diagnostics of business decision models? A case study in salesforce optimization. SOLI Jun Wang, Moninder Singh, Kush R. Varshney
2012	Misc	`conf`	Dynamic matrix factorization: A state space approach. ICASSP John Z. Sun, Kush R. Varshney, Karthik Subbian
2012	J	`jnl`	Generalization Error of Linear Discriminant Analysis in Spatially-Correlated Sensor Networks. IEEE Trans. Signal Process. Kush R. Varshney
2012	C	`conf`	Interactive Visual Salesforce Analytics. ICIS Kush R. Varshney, Jamie C. Rasmussen, Aleksandra Mojsilovic, Moninder Singh, Joan Morris DiMicco
2012	A	`conf`	Legislative Prediction via Random Walks over a Heterogeneous Graph. SDM Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
2012	J	`jnl`	Sales-force performance analytics and optimization. IBM J. Res. Dev. Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, Kush R. Varshney
2011	J	`jnl`	Bayes Risk Error is a Bregman Divergence. IEEE Trans. Signal Process. Kush R. Varshney
2011	J	`jnl`	Business Analytics Based on Financial Time Series. IEEE Signal Process. Mag. Kush R. Varshney, Aleksandra Mojsilovic
2011	Misc	`conf`	Categorical decision making by people, committees, and crowds. ITA Lav R. Varshney, Joong Bum Rhim, Kush R. Varshney, Vivek K. Goyal
2011	J	`jnl`	Dynamic Matrix Factorization: A State Space Approach CoRR John Z. Sun, Kush R. Varshney, Karthik Subbian
2011	—	`conf`	Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations. ICDM Workshops Kush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic
2011	J	`jnl`	Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks. IEEE Trans. Signal Process. Kush R. Varshney, Alan S. Willsky
2011	Misc	`conf`	MCMC inference of the shape and variability of time-response signals. ICASSP Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh
2011	Misc	`conf`	Spatially-correlated sensor discriminant analysis. ICASSP Kush R. Varshney
2010	A*	`conf`	Class-specific error bounds for ensemble classifiers. KDD Ryan J. Prenger, Tracy D. Lemmond, Kush R. Varshney, Barry Y. Chen, William G. Hanley
2010	J	`jnl`	Classification Using Geometric Level Sets. J. Mach. Learn. Res. Kush R. Varshney, Alan S. Willsky
2010	—	`—`	Frugal hypothesis testing and classification. Kush R. Varshney
2009	C	`conf`	Learning dimensionality-reduced classifiers for information fusion. FUSION Kush R. Varshney, Alan S. Willsky
2009	J	`jnl`	Postarthroplasty Examination Using X-Ray Images. IEEE Trans. Medical Imaging Kush R. Varshney, Nikos Paragios, Jean-François Deux, Alain Kulski, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni
2008	Misc	`conf`	Minimum mean bayes risk error quantization of prior probabilities. ICASSP Kush R. Varshney, Lav R. Varshney
2008	J	`jnl`	Quantization of Prior Probabilities for Hypothesis Testing CoRR Kush R. Varshney, Lav R. Varshney
2008	J	`jnl`	Quantization of Prior Probabilities for Hypothesis Testing. IEEE Trans. Signal Process. Kush R. Varshney, Lav R. Varshney
2008	J	`jnl`	Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar. IEEE Trans. Signal Process. Kush R. Varshney, Müjdat Çetin, John W. Fisher III, Alan S. Willsky
2007	—	`conf`	Multi-View Stereo Reconstruction of Total Knee Replacement from X-Rays. ISBI Kush R. Varshney, Nikos Paragios, Alain Kulski, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni