Singh, Moninder

16 publications

AAAI 2024 SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini

AAAI 2022 AI Explainability 360: Impact and Design 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

NeurIPS 2022 On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R Varshney, Elizabeth Daly, Moninder Singh

AAAI 2021 Anomaly Attribution with Likelihood Compensation Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe

MLOSS 2020 AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilović, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang

IJCAI 2019 Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi

AAAI 2018 Assessing National Development Plans for Alignment with Sustainable Development Goals via Semantic Search Jonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush R. Varshney

IJCAI 1997 An Expert System Using Nonmonotonic Techniques for Beneefits Inquiry in the Insurance Industry Leora Morgenstern, Moninder Singh

AAAI 1997 Learning Bayesian Networks from Incomplete Data Moninder Singh

AAAI 1996 Dynamic Constraint-Based Planning in Trauma Management Moninder Singh

ICML 1996 Efficient Learning of Selective Bayesian Network Classifiers Moninder Singh, Gregory M. Provan

AAAI 1996 Induction of Selective Bayesian Networks from Data Moninder Singh

ICML 1996 Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management Kazuo J. Ezawa, Moninder Singh, Steven W. Norton

ICML 1995 A Comparison of Induction Algorithms for Selective and Non-Selective Bayesian Classifiers Moninder Singh, Gregory M. Provan

AISTATS 1995 Learning Bayesian Networks Using Feature Selection Gregory M. Provan, Moninder Singh

UAI 1993 An Algorithm for the Construction of Bayesian Network Structures from Data Moninder Singh, Marco Valtorta