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| Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization | Mar 27, 2019 | Variational Inference | —Unverified | 0 |
| Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation | Apr 16, 2023 | NeRFObject | —Unverified | 0 |
| Markov Chain Monte Carlo Policy Optimization | Jan 4, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? | Jul 27, 2023 | Variational Inference | —Unverified | 0 |
| Learning Conditional Variational Autoencoders with Missing Covariates | Mar 2, 2022 | Missing ValuesVariational Inference | —Unverified | 0 |
| Learning Causally-Generated Stationary Time Series | Feb 22, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Transformed Gaussian Processes | Oct 27, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Markovian Score Climbing: Variational Inference with KL(p||q) | Mar 23, 2020 | Variational Inference | —Unverified | 0 |
