Vignesh Viswanathan

Orcid: 0000-0002-6261-6228

According to our database1, Vignesh Viswanathan authored at least 20 papers between 2008 and 2024.

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Bibliography

2024
On the Hardness of Fair Allocation under Ternary Valuations.
CoRR, 2024

Axiomatic Aggregations of Abductive Explanations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Tight Approximations for Graphical House Allocation.
CoRR, 2023

Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse.
CoRR, 2023

Weighted Notions of Fairness with Binary Supermodular Chores.
CoRR, 2023

Dividing Good and Better Items Among Agents with Submodular Valuations.
CoRR, 2023

Learning Effective Strategies for Moving Target Defense with Switching Costs.
CoRR, 2023

Dividing Good and Great Items Among Agents with Bivalued Submodular Valuations.
Proceedings of the Web and Internet Economics - 19th International Conference, 2023

The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences.
Proceedings of the Web and Internet Economics - 19th International Conference, 2023

A General Framework for Fair Allocation under Matroid Rank Valuations.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Yankee Swap: A Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Relaxations of Envy-Freeness Over Graphs.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Graphical House Allocation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
A General Framework for Fair Allocation with Matroid Rank Valuations.
CoRR, 2022

Locally EFX Allocations Over a Graph.
CoRR, 2022

Moving Target Defense under Uncertainty for Web Applications.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Computing using Samples: Theoretical Guarantees with the Direct Learning Approach.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

The Price is (Probably) Right: Learning Market Equilibria from Samples.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2008
Multivariate profiling of neurodegeneration-associated changes in a subcellular compartment of neurons via image processing.
BioData Min., 2008


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