| Excess risk analysis for epistemic uncertainty with application to variational inference | Jun 2, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| BayesFormer: Transformer with Uncertainty Estimation | Jun 2, 2022 | Active LearningLanguage Modeling | —Unverified | 0 |
| Amortized backward variational inference in nonlinear state-space models | Jun 1, 2022 | State EstimationState Space Models | —Unverified | 0 |
| Easy Variational Inference for Categorical Models via an Independent Binary Approximation | May 31, 2022 | Variational Inference | CodeCode Available | 0 |
| Variational inference via Wasserstein gradient flows | May 31, 2022 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification | May 30, 2022 | Gaussian ProcessesMulti-class Classification | —Unverified | 0 |
| Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks | May 29, 2022 | Variational Inference | —Unverified | 0 |
| Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling | May 28, 2022 | Gaussian ProcessesTensor Decomposition | —Unverified | 0 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 |
| Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning | May 23, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell data | May 23, 2022 | Variational Inference | CodeCode Available | 0 |
| Flow-based Recurrent Belief State Learning for POMDPs | May 23, 2022 | Decision MakingSequential Decision Making | —Unverified | 0 |
| RL with KL penalties is better viewed as Bayesian inference | May 23, 2022 | Bayesian InferenceLanguage Modelling | —Unverified | 0 |
| Foundation Posteriors for Approximate Probabilistic Inference | May 19, 2022 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Variational Inference for Bayesian Bridge Regression | May 19, 2022 | Bayesian Inferenceregression | —Unverified | 0 |
| Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems | May 18, 2022 | parameter estimationTime Series | —Unverified | 0 |
| Taming Continuous Posteriors for Latent Variational Dialogue Policies | May 16, 2022 | reinforcement-learningReinforcement Learning (RL) | —Unverified | 0 |
| Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows | May 16, 2022 | Variational Inference | —Unverified | 0 |
| MixFlows: principled variational inference via mixed flows | May 16, 2022 | Variational Inference | CodeCode Available | 0 |
| Importance Weighted Structure Learning for Scene Graph Generation | May 14, 2022 | Graph GenerationScene Graph Generation | —Unverified | 0 |
| Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation | May 13, 2022 | Recommendation SystemsTransfer Learning | —Unverified | 0 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking | May 11, 2022 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation | May 10, 2022 | Computational EfficiencyContinual Learning | —Unverified | 0 |
| Robust Learning of Parsimonious Deep Neural Networks | May 10, 2022 | Variational Inference | —Unverified | 0 |
