| Structured Output Learning with Conditional Generative Flows | May 30, 2019 | PredictionStructured Prediction | CodeCode Available | 1 | 5 |
| Automatic Differentiation Variational Inference | Mar 2, 2016 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 1 | 5 |
| Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes | Jun 19, 2020 | Continual LearningDecision Making | CodeCode Available | 1 | 5 |
| Discretely Relaxing Continuous Variables for tractable Variational Inference | Sep 12, 2018 | Variational Inference | CodeCode Available | 1 | 5 |
| A Differentiable Point Process with Its Application to Spiking Neural Networks | Jun 2, 2021 | Variational Inference | CodeCode Available | 1 | 5 |
| Torchtree: flexible phylogenetic model development and inference using PyTorch | Jun 26, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 | 5 |
| Joint Prompt Optimization of Stacked LLMs using Variational Inference | Jun 21, 2023 | Natural Language UnderstandingVariational Inference | CodeCode Available | 1 | 5 |
| Embrace the Gap: VAEs Perform Independent Mechanism Analysis | Jun 6, 2022 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Personalized Federated Learning via Variational Bayesian Inference | Jun 16, 2022 | Bayesian InferenceDiversity | CodeCode Available | 1 | 5 |
