| On Statistical Optimality of Variational Bayes | Dec 25, 2017 | Bayesian Inferenceparameter estimation | —Unverified | 0 | 0 |
| On the Approximation and Complexity of Deep Neural Networks to Invariant Functions | Oct 27, 2022 | parameter estimation | —Unverified | 0 | 0 |
| On the consistency of inversion-free parameter estimation for Gaussian random fields | Jan 15, 2016 | parameter estimation | —Unverified | 0 | 0 |
| On the Convergence of Coordinate Ascent Variational Inference | Jun 1, 2023 | parameter estimationVariational Inference | —Unverified | 0 | 0 |
| On the Data-Driven Modeling of Price-Responsive Flexible Loads: Formulation and Algorithm | Mar 5, 2025 | Bayesian Optimizationparameter estimation | —Unverified | 0 | 0 |
| On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH) | Jun 8, 2025 | parameter estimationReinforcement Learning (RL) | —Unverified | 0 | 0 |
| On the Impact of Sampling on Deep Sequential State Estimation | Nov 28, 2023 | parameter estimationState Estimation | —Unverified | 0 | 0 |
| On the Information in Extreme Measurements for Parameter Estimation | Sep 23, 2018 | Data Compressionparameter estimation | —Unverified | 0 | 0 |
| On the Minimax Misclassification Ratio of Hypergraph Community Detection | Feb 3, 2018 | ClusteringCommunity Detection | —Unverified | 0 | 0 |
| On the Parameter Combinations That Matter and on Those That do Not | Oct 13, 2021 | parameter estimation | —Unverified | 0 | 0 |