| VITS : Variational Inference Thompson Sampling for contextual bandits | Jul 19, 2023 | Multi-Armed BanditsThompson Sampling | CodeCode Available | 0 |
| Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference | Jul 14, 2023 | Variational Inference | —Unverified | 0 |
| Probabilistic Constrained Reinforcement Learning with Formal Interpretability | Jul 13, 2023 | Decision Makingreinforcement-learning | CodeCode Available | 0 |
| Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations | Jul 12, 2023 | Variational Inference | —Unverified | 0 |
| Function-Space Regularization for Deep Bayesian Classification | Jul 12, 2023 | Adversarial RobustnessClassification | —Unverified | 0 |
| A Causal Ordering Prior for Unsupervised Representation Learning | Jul 11, 2023 | Causal Discoverycounterfactual | —Unverified | 0 |
| Neural Causal Graph Collaborative Filtering | Jul 10, 2023 | Collaborative FilteringGraph Learning | CodeCode Available | 0 |
| Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference | Jul 10, 2023 | Variational Inference | —Unverified | 0 |
| Learning Space-Time Continuous Neural PDEs from Partially Observed States | Jul 9, 2023 | Variational Inference | CodeCode Available | 0 |
| Probabilistic Test-Time Generalization by Variational Neighbor-Labeling | Jul 8, 2023 | Domain GeneralizationVariational Inference | —Unverified | 0 |
| GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies | Jul 7, 2023 | Variational Inference | CodeCode Available | 0 |
| A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty | Jul 5, 2023 | modelVariational Inference | CodeCode Available | 0 |
| Personalized Federated Learning via Amortized Bayesian Meta-Learning | Jul 5, 2023 | Federated LearningMeta-Learning | —Unverified | 0 |
| Thompson sampling for improved exploration in GFlowNets | Jun 30, 2023 | Active LearningDecision Making | —Unverified | 0 |
| Latent SDEs on Homogeneous Spaces | Jun 28, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference | Jun 27, 2023 | Experimental DesignVariational Inference | —Unverified | 0 |
| Variational latent discrete representation for time series modelling | Jun 27, 2023 | ManagementTime Series | —Unverified | 0 |
| Structure-Sensitive Graph Dictionary Embedding for Graph Classification | Jun 18, 2023 | ClassificationGraph Classification | —Unverified | 0 |
| Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation | Jun 17, 2023 | blind source separationVariational Inference | —Unverified | 0 |
| A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning | Jun 16, 2023 | Bayesian InferenceMeta-Learning | CodeCode Available | 0 |
| Structured Cooperative Learning with Graphical Model Priors | Jun 16, 2023 | modelStochastic Block Model | CodeCode Available | 0 |
| A Heavy-Tailed Algebra for Probabilistic Programming | Jun 15, 2023 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems | Jun 14, 2023 | State EstimationState Space Models | —Unverified | 0 |
| Variational Positive-incentive Noise: How Noise Benefits Models | Jun 13, 2023 | Variational Inference | CodeCode Available | 0 |
| Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language | Jun 13, 2023 | Variational Inference | —Unverified | 0 |
