| SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data | May 10, 2021 | Gaussian ProcessesTime Series | —Unverified | 0 |
| MetaKernel: Learning Variational Random Features with Limited Labels | May 8, 2021 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 |
| Laplace Matching for fast Approximate Inference in Latent Gaussian Models | May 7, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Supervised multi-specialist topic model with applications on large-scale electronic health record data | May 4, 2021 | DiagnosticPrediction | CodeCode Available | 0 |
| What Are Bayesian Neural Network Posteriors Really Like? | Apr 29, 2021 | Data AugmentationVariational Inference | CodeCode Available | 1 |
| Variational Pedestrian Detection | Apr 26, 2021 | object-detectionObject Detection | —Unverified | 0 |
| Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums | Apr 26, 2021 | Variational Inference | —Unverified | 0 |
| Variational Inference in high-dimensional linear regression | Apr 25, 2021 | regressionVariational Inference | —Unverified | 0 |
| Outcome-Driven Reinforcement Learning via Variational Inference | Apr 20, 2021 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Convolutional Normalizing Flows for Deep Gaussian Processes | Apr 17, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Variational Inference for Category Recommendation in E-Commerce platforms | Apr 15, 2021 | Variational Inference | —Unverified | 0 |
| The computational asymptotics of Gaussian variational inference and the Laplace approximation | Apr 13, 2021 | Bayesian InferenceStochastic Optimization | CodeCode Available | 0 |
| Learning by example: fast reliability-aware seismic imaging with normalizing flows | Apr 13, 2021 | Bayesian InferenceSeismic Imaging | CodeCode Available | 1 |
| Bayesian Variational Federated Learning and Unlearning in Decentralized Networks | Apr 8, 2021 | Federated LearningVariational Inference | —Unverified | 0 |
| Generative Locally Linear Embedding | Apr 4, 2021 | Dimensionality ReductionVariational Inference | CodeCode Available | 1 |
| Variational Inference MPC using Tsallis Divergence | Apr 1, 2021 | Model Predictive ControlVariational Inference | —Unverified | 0 |
| Storchastic: A Framework for General Stochastic Automatic Differentiation | Apr 1, 2021 | Variational Inference | CodeCode Available | 1 |
| Variational Rejection Particle Filtering | Mar 29, 2021 | Variational Inference | —Unverified | 0 |
| SKID RAW: Skill Discovery from Raw Trajectories | Mar 26, 2021 | Variational Inference | —Unverified | 0 |
| Hamiltonian Policy Optimization in Reinforcement Learning | Mar 23, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| D3p -- A Python Package for Differentially-Private Probabilistic Programming | Mar 22, 2021 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 |
| Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method | Mar 22, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Sparse Algorithms for Markovian Gaussian Processes | Mar 19, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Probabilistic Simplex Component Analysis | Mar 18, 2021 | Hyperspectral UnmixingVariational Inference | —Unverified | 0 |
| Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise | Mar 15, 2021 | image-classificationImage Classification | —Unverified | 0 |
