Vignesh Viswanathan

I am a Computer Science PhD student at the University of Massachusetts, Amherst working under the supervision of Prof. Yair Zick. Prior to joining UMass Amherst, I received my undergraduate degree at IIT Kharagpur.

My main research interest is fair division. I am specifically interested in fairly allocating indivisible items when agents have simple submodular valuations. I have also done some work on the fair allocation problem where agents are embedded on a graph.

If you have queries about my work or you would like to collaborate, you can reach out to me at vviswanathan(at)umass.edu.

• A General Framework For Fair Allocation with Matroid Rank Valuations.
  Vignesh Viswanathan and Yair Zick;
  [Paper]
  
• Dividing Good and Better Items Among Agents with Submodular Valuations.
  Cyrus Cousins, Vignesh Viswanathan and Yair Zick;
  [Paper]
  

• Yankee Swap: A Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations
  Vignesh Viswanathan and Yair Zick;
  In Proceedings of the 22nd International Conference on Autonomous Agents and Multagent Systems (AAMAS), May 2023, London, United Kingdom.
  [Paper]
  
• Graphical House Allocation
  Hadi Hosseini, Justin Payan, Rik Sengupta, Rohit Vaish and Vignesh Viswanathan;
  In Proceedings of the 22nd International Conference on Autonomous Agents and Multagent Systems (AAMAS), May 2023, London, United Kingdom.
  [Paper]
  
• Relaxations of Envy-Freeness Over Graphs
  Justin Payan, Rik Sengupta and Vignesh Viswanathan;
  In Proceedings of the 22nd International Conference on Autonomous Agents and Multagent Systems (AAMAS), May 2023, London, United Kingdom. (Extended Abstract)
  Previously appeared at the 4th Games, Agents and Incentives Workshop (GAIW), 2022 held at AAMAS, 2022.
  [Paper][Code]
  

• Moving Target Defense under Uncertainty for Web Applications.
  Vignesh Viswanathan, Megha Bose and Praveen Paruchuri;
  In Proceedings of the 21st International Conference on Autonomous Agents and Multagent Systems (AAMAS), May 2022, Auckland, New Zealand (Extended Abstract).
  

• The Price is (Probably) Right: Learning Market Equilibria From Samples.
  Omer Lev, Neel Patel, Vignesh Viswanathan and Yair Zick;
  In proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2021, London, United Kingdom.
  [Paper][Bibtex][Code]
  
• Computing using Samples: Theoretical Guarantees with the Direct Learning Approach.
  Vignesh Viswanathan;
  In proceedings of the Doctoral Consortium at the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2021, London, United Kingdom.
  [Paper][Bibtex]
  

• Fighting Wildfires under Uncertainty: A Sequential Resource Allocation Approach.
  Hau Chan, Long Tran-Thanh and Vignesh Viswanathan;
  In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), January 2021, Kyoto, Japan.
  [Paper][Bibtex]