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Vignesh Viswanathan
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Journal Articles
- 2024
- [j2]Hadi Hosseini, Andrew McGregor, Justin Payan, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan:
Graphical house allocation with identical valuations. Auton. Agents Multi Agent Syst. 38(2): 42 (2024) - 2008
- [j1]Saravana K. Kumarasamy, Yunshi Wang, Vignesh Viswanathan, Rachel S. Kraut:
Multivariate profiling of neurodegeneration-associated changes in a subcellular compartment of neurons via image processing. BioData Min. 1 (2008)
Conference and Workshop Papers
- 2024
- [c12]Gagan Biradar, Yacine Izza, Elita A. Lobo, Vignesh Viswanathan, Yair Zick:
Axiomatic Aggregations of Abductive Explanations. AAAI 2024: 11096-11104 - [c11]Hadi Hosseini, Andrew McGregor, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan:
Tight Approximations for Graphical House Allocation. AAMAS 2024: 825-833 - 2023
- [c10]Hadi Hosseini, Justin Payan, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan:
Graphical House Allocation. AAMAS 2023: 161-169 - [c9]Vignesh Viswanathan, Yair Zick:
Yankee Swap: A Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations. AAMAS 2023: 179-187 - [c8]Justin Payan, Rik Sengupta, Vignesh Viswanathan:
Relaxations of Envy-Freeness Over Graphs. AAMAS 2023: 2652-2654 - [c7]Vignesh Viswanathan, Yair Zick:
A General Framework for Fair Allocation under Matroid Rank Valuations. EC 2023: 1129-1152 - [c6]Cyrus Cousins, Vignesh Viswanathan, Yair Zick:
The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences. WINE 2023: 207-224 - [c5]Cyrus Cousins, Vignesh Viswanathan, Yair Zick:
Dividing Good and Great Items Among Agents with Bivalued Submodular Valuations. WINE 2023: 225-241 - 2022
- [c4]Vignesh Viswanathan, Megha Bose, Praveen Paruchuri:
Moving Target Defense under Uncertainty for Web Applications. AAMAS 2022: 1750-1752 - 2021
- [c3]Omer Lev, Neel Patel, Vignesh Viswanathan, Yair Zick:
The Price is (Probably) Right: Learning Market Equilibria from Samples. AAMAS 2021: 755-763 - [c2]Vignesh Viswanathan:
Computing using Samples: Theoretical Guarantees with the Direct Learning Approach. AAMAS 2021: 1842-1844 - 2020
- [c1]Hau Chan, Long Tran-Thanh, Vignesh Viswanathan:
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach. IJCAI 2020: 4322-4329
Informal and Other Publications
- 2024
- [i13]Zack Fitzsimmons, Vignesh Viswanathan, Yair Zick:
On the Hardness of Fair Allocation under Ternary Valuations. CoRR abs/2403.00943 (2024) - 2023
- [i12]Hadi Hosseini, Justin Payan, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan:
Graphical House Allocation. CoRR abs/2301.01323 (2023) - [i11]Vignesh Viswanathan, Megha Bose, Praveen Paruchuri:
Learning Effective Strategies for Moving Target Defense with Switching Costs. CoRR abs/2301.09892 (2023) - [i10]Cyrus Cousins, Vignesh Viswanathan, Yair Zick:
Dividing Good and Better Items Among Agents with Submodular Valuations. CoRR abs/2302.03087 (2023) - [i9]Vignesh Viswanathan, Yair Zick:
Weighted Notions of Fairness with Binary Supermodular Chores. CoRR abs/2303.06212 (2023) - [i8]Jenny Hamer, Jake Valladares, Vignesh Viswanathan, Yair Zick:
Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse. CoRR abs/2306.15557 (2023) - [i7]Hadi Hosseini, Andrew McGregor, Rik Sengupta, Rohit Vaish, Vignesh Viswanathan:
Tight Approximations for Graphical House Allocation. CoRR abs/2307.12482 (2023) - [i6]Cyrus Cousins, Vignesh Viswanathan, Yair Zick:
The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences. CoRR abs/2307.12516 (2023) - [i5]Gagan Biradar, Yacine Izza, Elita A. Lobo, Vignesh Viswanathan, Yair Zick:
Axiomatic Aggregations of Abductive Explanations. CoRR abs/2310.03131 (2023) - 2022
- [i4]Justin Payan, Rik Sengupta, Vignesh Viswanathan:
Locally EFX Allocations Over a Graph. CoRR abs/2202.10946 (2022) - [i3]Vignesh Viswanathan, Yair Zick:
Yankee Swap: a Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations. CoRR abs/2206.08495 (2022) - [i2]Vignesh Viswanathan, Yair Zick:
A General Framework for Fair Allocation with Matroid Rank Valuations. CoRR abs/2208.07311 (2022) - 2020
- [i1]Omer Lev, Neel Patel, Vignesh Viswanathan, Yair Zick:
The Price is (Probably) Right: Learning Market Equilibria from Samples. CoRR abs/2012.14838 (2020)
Coauthor Index
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