| FEW-SHOTLEARNING WITH WEAK SUPERVISION | Mar 13, 2021 | Meta-LearningVariational Inference | —Unverified | 0 |
| Variational inference with a quantum computer | Mar 11, 2021 | Variational Inference | —Unverified | 0 |
| A variational inference framework for inverse problems | Mar 10, 2021 | Variational Inference | —Unverified | 0 |
| Less Suboptimal Learning and Control in Variational POMDPs | Mar 9, 2021 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Monotonic Alpha-divergence Minimisation for Variational Inference | Mar 9, 2021 | Variational Inference | —Unverified | 0 |
| Lossless Compression using Continuously-Indexed Normalizing Flows | Mar 4, 2021 | Density EstimationVariational Inference | —Unverified | 0 |
| Generative Particle Variational Inference via Estimation of Functional Gradients | Mar 1, 2021 | Variational Inference | —Unverified | 0 |
| A practical tutorial on Variational Bayes | Mar 1, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Moment-Based Variational Inference for Stochastic Differential Equations | Mar 1, 2021 | Variational Inference | —Unverified | 0 |
| Challenges and Opportunities in High-dimensional Variational Inference | Mar 1, 2021 | Variational InferenceVocal Bursts Intensity Prediction | —Unverified | 0 |
| Hamiltonian Policy Optimization | Feb 28, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Automated Creative Optimization for E-Commerce Advertising | Feb 28, 2021 | AutoMLClick-Through Rate Prediction | CodeCode Available | 0 |
| Variational Laplace for Bayesian neural networks | Feb 27, 2021 | BenchmarkingImage Classification | —Unverified | 0 |
| An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations | Feb 25, 2021 | DiagnosticVariational Inference | —Unverified | 0 |
| Stein Variational Gradient Descent: many-particle and long-time asymptotics | Feb 25, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Stochastic Aggregation in Graph Neural Networks | Feb 25, 2021 | Variational Inference | CodeCode Available | 0 |
| Deep Stochastic Volatility Model | Feb 25, 2021 | modelVariational Inference | CodeCode Available | 1 |
| Community Detection in Weighted Multilayer Networks with Ambient Noise | Feb 24, 2021 | Community DetectionVariational Inference | CodeCode Available | 0 |
| Automatic Feature Extraction for Heartbeat Anomaly Detection | Feb 24, 2021 | Anomaly DetectionDecoder | CodeCode Available | 0 |
| Quantifying Variational Approximation for the Log-Partition Function | Feb 19, 2021 | Variational Inference | —Unverified | 0 |
| Structured Dropout Variational Inference for Bayesian Neural Networks | Feb 16, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Tractable structured natural gradient descent using local parameterizations | Feb 15, 2021 | Variational Inference | —Unverified | 0 |
| Differentiable Particle Filtering via Entropy-Regularized Optimal Transport | Feb 15, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Scalable Vector Gaussian Information Bottleneck | Feb 15, 2021 | Variational Inference | —Unverified | 0 |
| Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations | Feb 12, 2021 | Variational Inference | CodeCode Available | 1 |
