| Importance Weighting and Variational Inference | Aug 27, 2018 | Variational Inference | —Unverified | 0 |
| Improved Bayesian Logistic Supervised Topic Models with Data Augmentation | Oct 9, 2013 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Improved Gradient-Based Optimization Over Discrete Distributions | Sep 29, 2018 | Variational Inference | —Unverified | 0 |
| Improved Gradient Estimators for Stochastic Discrete Variables | Sep 27, 2018 | Variational Inference | —Unverified | 0 |
| Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method | Mar 22, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Structured Dropout Variational Inference for Bayesian Neural Networks | Feb 16, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Improving Graph Out-of-distribution Generalization on Real-world Data | Jul 14, 2024 | Bayesian InferenceOut-of-Distribution Generalization | —Unverified | 0 |
| Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes | Jul 19, 2017 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations | Dec 23, 2021 | Autonomous Drivingimage-classification | —Unverified | 0 |
| Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models | Jun 30, 2024 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
