| Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization | Dec 8, 2020 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 |
| Variational Inference with Tail-adaptive f-Divergence | Oct 29, 2018 | Deep Reinforcement LearningReinforcement Learning | CodeCode Available | 0 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 |
| A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime | Feb 11, 2019 | Small Data Image ClassificationUncertainty Quantification | CodeCode Available | 0 |
| Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods | Jan 15, 2020 | Second-order methodsVariational Inference | CodeCode Available | 0 |
| A General Method for Amortizing Variational Filtering | Nov 13, 2018 | Inference OptimizationVariational Inference | CodeCode Available | 0 |
| Noisy Natural Gradient as Variational Inference | Dec 6, 2017 | Active LearningEfficient Exploration | CodeCode Available | 0 |
| Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space | Jan 29, 2025 | Variational Inference | CodeCode Available | 0 |
| Manifold Gaussian Variational Bayes on the Precision Matrix | Oct 26, 2022 | Variational Inference | CodeCode Available | 0 |
