| Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness | Oct 24, 2021 | DecoderDiversity | CodeCode Available | 0 |
| Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling | May 19, 2017 | Variational Inference | CodeCode Available | 0 |
| Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression | Jul 17, 2021 | Gaussian Processesregression | CodeCode Available | 0 |
| Learning to Learn Kernels with Variational Random Features | Jun 11, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization | Aug 2, 2021 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Learning to Learn Variational Semantic Memory | Oct 20, 2020 | Few-Shot LearningGeneral Knowledge | CodeCode Available | 0 |
| Subspace Identification for Multi-Source Domain Adaptation | Oct 7, 2023 | DisentanglementDomain Adaptation | CodeCode Available | 0 |
| Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides | May 31, 2023 | Medical DiagnosisVariational Inference | CodeCode Available | 0 |
| Subspace Inference for Bayesian Deep Learning | Jul 17, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| A Contrastive Divergence for Combining Variational Inference and MCMC | May 10, 2019 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 |
| Supervised multi-specialist topic model with applications on large-scale electronic health record data | May 4, 2021 | DiagnosticPrediction | CodeCode Available | 0 |
| Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients | Jan 4, 2022 | StarcraftStarcraft II | CodeCode Available | 0 |
| Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems | Jan 15, 2019 | Probabilistic Deep LearningVariational Inference | CodeCode Available | 0 |
| Bayesian Nonlinear Support Vector Machines for Big Data | Jul 18, 2017 | Variational Inference | CodeCode Available | 0 |
| Lifted Hybrid Variational Inference | Jan 8, 2020 | Variational Inference | CodeCode Available | 0 |
| Rényi Divergence Variational Inference | Feb 6, 2016 | Variational Inference | CodeCode Available | 0 |
| ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks | Jul 30, 2018 | Data AugmentationVariational Inference | CodeCode Available | 0 |
| Reparameterization Gradient for Non-differentiable Models | Jun 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms | Oct 18, 2016 | Bayesian InferenceStochastic Optimization | CodeCode Available | 0 |
| Linear dynamical neural population models through nonlinear embeddings | May 26, 2016 | Variational Inference | CodeCode Available | 0 |
| VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge | Sep 23, 2024 | Anomaly DetectionVariational Inference | CodeCode Available | 0 |
| Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning | Oct 1, 2021 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects | Aug 9, 2018 | Variational Inference | CodeCode Available | 0 |
| Adaptive RKHS Fourier Features for Compositional Gaussian Process Models | Jul 1, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
