no code implementations • 6 Jan 2023 • Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard E. Stearns, Anil Vullikanti
Fixed points of such dynamical systems represent configurations to which the system converges.
1 code implementation • 30 Nov 2022 • Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi, Daniel J. Rosenkrantz
For a general class of benefit functions satisfying certain properties (including diminishing returns), we show that this multi-round matching problem is efficiently solvable.
no code implementations • 20 Sep 2022 • Ian Davidson, S. S. Ravi
Existing work on fairness typically focuses on making known machine learning algorithms fairer.
no code implementations • 20 Sep 2022 • Ian Davidson, Michael Livanos, Antoine Gourru, Peter Walker, Julien Velcin, S. S. Ravi
Explainable AI (XAI) is an important developing area but remains relatively understudied for clustering.
1 code implementation • 12 Sep 2022 • Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi
Our focus is on resource allocation problems where agents may have restrictions that make them incompatible with some resources.
1 code implementation • 6 Feb 2020 • Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren
Improving the explainability of the results from machine learning methods has become an important research goal.
no code implementations • 30 Jan 2020 • Hongjing Zhang, S. S. Ravi, Ian Davidson
Most existing active learning for regression methods use the regression function learned at each active learning iteration to select the next informative point to query.