2 papers
cs.LG2024
Fine-tuning Vision Classifiers On A Budget
Sunil Kumar, Ted Sandler, Paulina Varshavskaya
Fine-tuning modern computer vision models requires accurately labeled data for which the ground truth may not exist, but a set of multiple labels can be obtained from labelers of v…
cs.LG2018
Bayesian Counterfactual Risk Minimization
Ben London, Ted Sandler
We present a Bayesian view of counterfactual risk minimization (CRM) for offline learning from logged bandit feedback. Using PAC-Bayesian analysis, we derive a new generalization b…