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Found 6 papers, 1 papers with code
Trajectory-Based Multi-Objective Hyperparameter Optimization for Model Retraining
Training machine learning models inherently involves a resource-intensive and noisy iterative learning procedure that allows epoch-wise monitoring of the model performance.
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
Through this insight, we propose a new local Bayesian optimization algorithm, MinUCB, which replaces the gradient descent step with minimizing UCB in GIBO.
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification
In particular, Jaccard distance calculates the distance based on the overlap of relevant neighbors.
A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms
Finally, we demonstrate that the breakdown point of CORALS is indeed higher than that of the algorithm from which it is derived.
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
Because of the widespread existence of noise and data corruption, recovering the true regression parameters with a certain proportion of corrupted response variables is an essential task.
Behavior Pattern and Compiled Information Based Performance Prediction in MOOCs
This paper mainly focuses on the students' accomplishment behaviors in programming assignments and compiled information from programming assignments.
