A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Study shows leaving some hyperparameters at default can outperform tuning them.
Enhanced privacy, utility, and efficiency through MUST subsampling.
We propose an AdaPtive Noise Augmentation (PANDA) technique to regularize the estimation and construction of undirected graphical models. PANDA iteratively optimizes the objective function given the noise augmented data until convergence to achieve regularization on model parameters. The augmented noises can be designe…
Noise injection (NI) is an efficient technique to mitigate over-fitting in neural networks (NNs). The Bernoulli NI procedure as implemented in dropout and shakeout has connections with and regularization for the NN model parameters. We propose whiteout, a family NI regularization techniques (NIRT) through i…
Bayesian Cox model identifies biomarkers from multi-omics data.
Bayesian logistic regression improves clinical risk prediction models over time.