7 citations · 12 across the 3 of their papers we have counts for
3 papers
A random-key GRASP for combinatorial optimization
Antonio A. Chaves, Mauricio G. C. Resende, Ricardo M. A. Silva
This paper proposes a problem-independent GRASP metaheuristic using the random-key optimizer (RKO) paradigm. GRASP (greedy randomized adaptive search procedure) is a metaheuristic…
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch, Gbètondji J-S Dovonon, Jean Kaddour +1
The problem of spurious correlations (SCs) arises when a classifier relies on non-predictive features that happen to be correlated with the labels in the training data. For example…
When Do Flat Minima Optimizers Work?
Jean Kaddour, Linqing Liu, Ricardo Silva +1
Recently, flat-minima optimizers, which seek to find parameters in low-loss neighborhoods, have been shown to improve a neural network's generalization performance over stochastic…