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cs.LG2025
Stability-based Generalization Bounds for Variational Inference
Yadi Wei, Roni Khardon
Variational inference (VI) is widely used for approximate inference in Bayesian machine learning. In addition to this practical success, generalization bounds for variational infer…
cs.LG2022★ 1 cited
On the Performance of Direct Loss Minimization for Bayesian Neural Networks
Yadi Wei, Roni Khardon
Direct Loss Minimization (DLM) has been proposed as a pseudo-Bayesian method motivated as regularized loss minimization. Compared to variational inference, it replaces the loss ter…
cs.LG2020
Direct loss minimization algorithms for sparse Gaussian processes
Yadi Wei, Rishit Sheth, Roni Khardon
The paper provides a thorough investigation of Direct loss minimization (DLM), which optimizes the posterior to minimize predictive loss, in sparse Gaussian processes. For the conj…