Mukund Sundararajan

According to our database1, Mukund Sundararajan authored at least 55 papers between 2004 and 2023.

Collaborative distances:



In proceedings 
PhD thesis 




Multi-Task Differential Privacy Under Distribution Skew.
CoRR, 2023

Attributing AUC-ROC to Analyze Binary Classifier Performance.
CoRR, 2022

First is Better Than Last for Training Data Influence.
CoRR, 2022

Reciprocity in Machine Learning.
CoRR, 2022

First is Better Than Last for Language Data Influence.
NeurIPS, 2022

Robust mechanisms for risk-averse sellers.
Games Econ. Behav., 2020

The Penalty Imposed by Ablated Data Augmentation.
CoRR, 2020

Estimating Training Data Influence by Tracking Gradient Descent.
CoRR, 2020

Estimating Training Data Influence by Tracing Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Many Shapley Values for Model Explanation.
Proceedings of the 37th International Conference on Machine Learning, 2020

The Shapley Taylor Interaction Index.
Proceedings of the 37th International Conference on Machine Learning, 2020

Attribution in Scale and Space.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A New Interaction Index inspired by the Taylor Series.
CoRR, 2019

Exploring Principled Visualizations for Deep Network Attributions.
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

How Important is a Neuron.
Proceedings of the 7th International Conference on Learning Representations, 2019

Is Shapley cost sharing optimal?
Games Econ. Behav., 2018

A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values.
CoRR, 2018

It was the training data pruning too!
CoRR, 2018

The Cascading Analysts Algorithm.
Proceedings of the 2018 International Conference on Management of Data, 2018

Did the Model Understand the Question?
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

A Simple and Efficient MapReduce Algorithm for Data Cube Materialization.
CoRR, 2017

Abductive Matching in Question Answering.
CoRR, 2017

Hierarchical Summarization of Metric Changes.
CoRR, 2017

Analyza: Exploring Data with Conversation.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Axiomatic Attribution for Deep Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Robust Mechanisms for Sponsored Search.
EAI Endorsed Trans. Serious Games, 2016

Prediction and Welfare in Ad Auctions.
Theory Comput. Syst., 2016

Gradients of Counterfactuals.
CoRR, 2016

Mean Field Equilibria of Dynamic Auctions with Learning.
Manag. Sci., 2014

Refine Predictions Ad Infinitum?
CoRR, 2013

Revenue Submodularity.
Theory Comput., 2012

A Learning-Based Approach to Reactive Security.
IEEE Trans. Dependable Secur. Comput., 2012

Universally Utility-maximizing Privacy Mechanisms.
SIAM J. Comput., 2012

On Fixed-Price Marketing for Goods with Positive Network Externalities.
Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

Axiomatic attribution for multilinear functions.
Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), 2011

Mean field equilibria of dynamic auctions with learning: A dynamic revenue equivalence theorem.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Universally optimal privacy mechanisms for minimax agents.
Proceedings of the Twenty-Ninth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2010

Improved Kernel Common Vector Method for Face Recognition Varying in Background Conditions.
Proceedings of the Computational Modeling of Objects Represented in Images, 2010

Trade-offs in cost sharing.
PhD thesis, 2009

New enhancements to the SOCKS communication network security protocol: Schemes and performance evaluation.
J. Syst. Softw., 2009

Quantifying inefficiency in cost-sharing mechanisms.
J. ACM, 2009

Beyond Moulin mechanisms.
Games Econ. Behav., 2009

An Automated Approach for Proving PCL Invariants.
Proceedings of the Third International Workshop on Security and Rewriting Techniques, 2008

Optimal marketing strategies over social networks.
Proceedings of the 17th International Conference on World Wide Web, 2008

On characterizations of truthful mechanisms for combinatorial auctions and scheduling.
Proceedings of the Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), 2008

New Techniques to Enhance the Capabilities of the Socks Network Security Protocol.
Proceedings of the SECRYPT 2008, 2008

Mechanism design for stochastic optimization problems.
SIGecom Exch., 2007

Stochastic Mechanism Design.
Proceedings of the Internet and Network Economics, Third International Workshop, 2007

Computing Optimal Bundles for Sponsored Search.
Proceedings of the Internet and Network Economics, Third International Workshop, 2007

Optimal Efficiency Guarantees for Network Design Mechanisms.
Proceedings of the Integer Programming and Combinatorial Optimization, 2007

Approximately Efficient Cost-Sharing Mechanisms
CoRR, 2006

Optimal Cost-Sharing Mechanisms for Steiner Forest Problems.
Proceedings of the Internet and Network Economics, Second International Workshop, 2006

New trade-offs in cost-sharing mechanisms.
Proceedings of the 38th Annual ACM Symposium on Theory of Computing, 2006

A modular correctness proof of IEEE 802.11i and TLS.
Proceedings of the 12th ACM Conference on Computer and Communications Security, 2005

Chaining Algorithms for Alignment of Draft Sequence.
Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004