| Debiased Graph Neural Networks with Agnostic Label Selection Bias | Jan 19, 2022 | parameter estimationSelection bias | —Unverified | 0 | 0 |
| Decomposing Parameter Estimation Problems | Dec 1, 2014 | parameter estimation | —Unverified | 0 | 0 |
| DECOrrelated feature space partitioning for distributed sparse regression | Feb 8, 2016 | parameter estimationregression | —Unverified | 0 | 0 |
| Deep AutoRegressive Networks | Oct 31, 2013 | Atari Gamesparameter estimation | —Unverified | 0 | 0 |
| DeepBayes -- an estimator for parameter estimation in stochastic nonlinear dynamical models | May 4, 2022 | parameter estimation | —Unverified | 0 | 0 |
| Deep Clustered Convolutional Kernels | Mar 6, 2015 | Clusteringparameter estimation | —Unverified | 0 | 0 |
| Deep composition of tensor-trains using squared inverse Rosenblatt transports | Jul 14, 2020 | parameter estimationUncertainty Quantification | —Unverified | 0 | 0 |
| Deep connections between learning from limited labels & physical parameter estimation -- inspiration for regularization | Mar 17, 2020 | parameter estimation | —Unverified | 0 | 0 |
| Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers | Jan 2, 2025 | parameter estimationRepresentation Learning | —Unverified | 0 | 0 |
