Pages that link to "Item:Q2038303"

The following pages link to A selective overview of deep learning (Q2038303):

Displaying 24 items.

• Detecting conflicting summary statistics in likelihood-free inference (Q2058909) (← links)
• Special issue on statistical analysis of networks (Q2066709) (← links)
• A review of h-likelihood for survival analysis (Q2068961) (← links)
• Measurement error models: from nonparametric methods to deep neural networks (Q2092892) (← links)
• Provably training overparameterized neural network classifiers with non-convex constraints (Q2106783) (← links)
• Robust deep neural network estimation for multi-dimensional functional data (Q2106805) (← links)
• A new deep neural network algorithm for multiple stopping with applications in options pricing (Q2108626) (← links)
• Discussion to: \textit{Bayesian graphical models for modern biological applications} by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo (Q2152188) (← links)
• Individualized risk assessment of preoperative opioid use by interpretable neural network regression (Q2686044) (← links)
• Marginally Calibrated Deep Distributional Regression (Q5066406) (← links)
• The unreasonable effectiveness of deep learning in artificial intelligence (Q5073209) (← links)
• The Science of Deep Learning (Q5086566) (← links)
• Guide to Deep Learning Basics (Q5217584) (← links)
• Data augmentation for Bayesian deep learning (Q6122055) (← links)
• Recent advances in reinforcement learning in finance (Q6146668) (← links)
• Understanding Implicit Regularization in Over-Parameterized Single Index Model (Q6185498) (← links)
• Can a Machine Correct Option Pricing Models? (Q6190709) (← links)
• A Selective Overview of Deep Learning (Q6317044) (← links)
• Some statistical challenges in automated driving systems (Q6581520) (← links)
• Merging two cultures: deep and statistical learning (Q6604368) (← links)
• Copula deep learning control chart for multivariate zero inflated count response variables (Q6618200) (← links)
• Neural Networks for Partially Linear Quantile Regression (Q6626229) (← links)
• An illustration of model agnostic explainability methods applied to environmental data (Q6626539) (← links)
• Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression (Q6651371) (← links)