Amit Dhurandhar

According to our database1, Amit Dhurandhar authored at least 43 papers between 2005 and 2020.

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Bibliography

2020
Model Agnostic Multilevel Explanations.
CoRR, 2020

Learning Global Transparent Models from Local Contrastive Explanations.
CoRR, 2020

Invariant Risk Minimization Games.
CoRR, 2020


2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.
CoRR, 2019

Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning.
CoRR, 2019

Model Agnostic Contrastive Explanations for Structured Data.
CoRR, 2019

Leveraging Simple Model Predictions for Enhancing its Performance.
CoRR, 2019

Generating Contrastive Explanations with Monotonic Attribute Functions.
CoRR, 2019

Efficient Data Representation by Selecting Prototypes with Importance Weights.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

TED: Teaching AI to Explain its Decisions.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Streaming Methods for Restricted Strongly Convex Functions with Applications to Prototype Selection.
CoRR, 2018

Teaching Meaningful Explanations.
CoRR, 2018

Improving Simple Models with Confidence Profiles.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Supervised item response models for informative prediction.
Knowl. Inf. Syst., 2017

Real-time understanding of humanitarian crises via targeted information retrieval.
IBM J. Res. Dev., 2017

ProtoDash: Fast Interpretable Prototype Selection.
CoRR, 2017

A Formal Framework to Characterize Interpretability of Procedures.
CoRR, 2017

TIP: Typifying the Interpretability of Procedures.
CoRR, 2017

Learning with Changing Features.
CoRR, 2017

Uncovering Group Level Insights with Accordant Clustering.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016
Continuous prediction of manufacturing performance throughout the production lifecycle.
J. Intelligent Manufacturing, 2016

Building an Interpretable Recommender via Loss-Preserving Transformation.
CoRR, 2016

2015
Improving classification performance through selective instance completion.
Mach. Learn., 2015

Bounds on the moments for an ensemble of random decision trees.
Knowl. Inf. Syst., 2015

Big Data System for Analyzing Risky Procurement Entities.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Informative Prediction Based on Ordinal Questionnaire Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Robust System for Identifying Procurement Fraud.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Efficient and accurate methods for updating generalized linear models with multiple feature additions.
J. Mach. Learn. Res., 2014

Symmetric Submodular Clustering with Actionable Constraint.
CoRR, 2014

2013
Probabilistic characterization of nearest neighbor classifier.
Int. J. Machine Learning & Cybernetics, 2013

Single Network Relational Transductive Learning.
J. Artif. Intell. Res., 2013

Using coarse information for real valued prediction.
Data Min. Knowl. Discov., 2013

Improving quality control by early prediction of manufacturing outcomes.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Intelligently querying incomplete instances for improving classification performance.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Distribution-free bounds for relational classification.
Knowl. Inf. Syst., 2012

2011
Improving predictions using aggregate information.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Managing Procurement Spend Using Advanced Compliance Analytics.
Proceedings of the IEEE 8th International Conference on e-Business Engineering, 2011

2010
Multi-step Time Series Prediction in Complex Instrumented Domains.
Proceedings of the ICDMW 2010, 2010

Learning Maximum Lag for Grouped Graphical Granger Models.
Proceedings of the ICDMW 2010, 2010

2009
Semi-analytical method for analyzing models and model selection measures based on moment analysis.
ACM Trans. Knowl. Discov. Data, 2009

2005
Robust Pattern Recognition Scheme for Devanagari Script.
Proceedings of the Computational Intelligence and Security, International Conference, 2005


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