Optimization
Bias in Evaluation Processes: An Optimization-Based Model L. Elisa Celis Y ale University Amit Kumar IIT Delhi Anay Mehrotra Y ale University Nisheeth K. Vishnoi Y ale University
In these processes, an evaluator estimates an individual's value to an institution.
Convexity and Lipschitz Hessian: Minimax Sample Complexity
We provide the first tight characterization for the rate of the minimax simple regret by developing matching upper and lower bounds.
Scalable Kernel Inverse Optimization
The inherent assumption in IO is that an agent generates its decision by solving an optimization problem.
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Project lead, main contributor, correspondence to alexandre.rame@isir.upmc.fr. Equal experimental contribution, order determined at random. Further information and resources related to this project can be found on this website.