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CEC-2017 Benchmark Functions
The CEC-2017 benchmark functions dataset is used to evaluate the performance of optimization algorithms. It contains 30 functions with different characteristics, including... -
Optimization Problems
The dataset used in the paper is a collection of optimization problems, including linear and quadratic programming problems, and is used to evaluate the performance of the... -
Stateful Performative Gradient Descent
The dataset used in the paper is a stateful performative setting, where the data distribution reacts to the deployed model. The goal is to learn a model that both induces a... -
Ridge Regression Dataset
The dataset used in the paper is a synthetic dataset for ridge regression problem over a network of agents, modeled as a Erdos-Renyi graph with m = 30 nodes and edge probability...