Multivariate profiling of neurodegeneration-associated changes in a subcellular compartment of neurons via image processing. - Saravana K. Kumarasamy; Yunshi Wang; Vignesh Viswanathan; Rachel S. Kraut (BioData Min., 2008)

Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach. - Hau Chan; Long Tran-Thanh; Vignesh Viswanathan (IJCAI, 2020)

The Price is (Probably) Right: Learning Market Equilibria from Samples. - Omer Lev; Neel Patel; Vignesh Viswanathan; Yair Zick (AAMAS, 2021)

Computing using Samples: Theoretical Guarantees with the Direct Learning Approach. - Vignesh Viswanathan (AAMAS, 2021)

Moving Target Defense under Uncertainty for Web Applications. - Vignesh Viswanathan; Megha Bose; Praveen Paruchuri (AAMAS, 2022)

Locally EFX Allocations Over a Graph. - Justin Payan; Rik Sengupta; Vignesh Viswanathan (CoRR, 2022)

A General Framework for Fair Allocation with Matroid Rank Valuations. - Vignesh Viswanathan; Yair Zick (CoRR, 2022)

Graphical House Allocation. - Hadi Hosseini; Justin Payan; Rik Sengupta; Rohit Vaish; Vignesh Viswanathan (AAMAS, 2023)

Relaxations of Envy-Freeness Over Graphs. - Justin Payan; Rik Sengupta; Vignesh Viswanathan (AAMAS, 2023)

Yankee Swap: A Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations. - Vignesh Viswanathan; Yair Zick (AAMAS, 2023)

A General Framework for Fair Allocation under Matroid Rank Valuations. - Vignesh Viswanathan; Yair Zick (EC, 2023)

The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences. - Cyrus Cousins; Vignesh Viswanathan; Yair Zick (WINE, 2023)

Dividing Good and Great Items Among Agents with Bivalued Submodular Valuations. - Cyrus Cousins; Vignesh Viswanathan; Yair Zick (WINE, 2023)

Learning Effective Strategies for Moving Target Defense with Switching Costs. - Vignesh Viswanathan; Megha Bose; Praveen Paruchuri (CoRR, 2023)

Dividing Good and Better Items Among Agents with Submodular Valuations. - Cyrus Cousins; Vignesh Viswanathan; Yair Zick (CoRR, 2023)

Weighted Notions of Fairness with Binary Supermodular Chores. - Vignesh Viswanathan; Yair Zick (CoRR, 2023)

Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse. - Jenny Hamer; Jake Valladares; Vignesh Viswanathan; Yair Zick (CoRR, 2023)

Axiomatic Aggregations of Abductive Explanations. - Gagan Biradar; Yacine Izza; Elita A. Lobo; Vignesh Viswanathan; Yair Zick (AAAI, 2024)

Tight Approximations for Graphical House Allocation. - Hadi Hosseini; Andrew McGregor 001; Rik Sengupta; Rohit Vaish; Vignesh Viswanathan (AAMAS, 2024)

Simple Steps to Success: A Method for Step-Based Counterfactual Explanations. - Jenny Hamer; Nicholas Perello; Jason Valladares; Vignesh Viswanathan; Yair Zick (Trans. Mach. Learn. Res., 2024)

Graphical house allocation with identical valuations. - Hadi Hosseini; Andrew McGregor 001; Justin Payan; Rik Sengupta; Rohit Vaish; Vignesh Viswanathan (Auton. Agents Multi Agent Syst., 2024)

Towards Optimal Multi-draft Speculative Decoding. - Zhengmian Hu; Tong Zheng; Vignesh Viswanathan; Ziyi Chen 002; Ryan A. Rossi; Yihan Wu; Dinesh Manocha; Heng Huang (ICLR, 2025)

On the Hardness of Fair Allocation under Ternary Valuations. - Zack Fitzsimmons; Vignesh Viswanathan; Yair Zick (AAMAS, 2025)

Stable Matching under Matroid Rank Valuations. - Alon Eden; Vignesh Viswanathan; Yair Zick (CoRR, 2025)

Best-of-Both-Worlds Guarantees with Fairer Endings. - Telikepalli Kavitha; Surya Panchapakesan; Rohit Vaish; Vignesh Viswanathan; Jatin Yadav (CoRR, 2025)