| Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains | Jun 1, 2023 | Variational Inference | —Unverified | 0 |
| On the Convergence of Coordinate Ascent Variational Inference | Jun 1, 2023 | parameter estimationVariational Inference | —Unverified | 0 |
| Balanced Training of Energy-Based Models with Adaptive Flow Sampling | Jun 1, 2023 | Density EstimationVariational Inference | —Unverified | 0 |
| Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency | May 31, 2023 | Self-LearningText Generation | —Unverified | 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 |
| Low-rank extended Kalman filtering for online learning of neural networks from streaming data | May 31, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Neural Markov Jump Processes | May 31, 2023 | Variational Inference | CodeCode Available | 0 |
| Learning a Structural Causal Model for Intuition Reasoning in Conversation | May 28, 2023 | Causal DiscoveryLanguage Modelling | CodeCode Available | 1 |
| Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation | May 27, 2023 | Variational Inference | —Unverified | 0 |
| Federated Empirical Risk Minimization via Second-Order Method | May 27, 2023 | Federated Learningquantile regression | —Unverified | 0 |
| Differentiable Random Partition Models | May 26, 2023 | Variational Inference | CodeCode Available | 0 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| On the Convergence of Black-Box Variational Inference | May 24, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Discriminative calibration: Check Bayesian computation from simulations and flexible classifier | May 24, 2023 | Variational Inference | CodeCode Available | 0 |
| Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting | May 24, 2023 | LEMMAVariational Inference | —Unverified | 0 |
| Bayesian calibration of differentiable agent-based models | May 24, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization | May 23, 2023 | Deep LearningTime Series | CodeCode Available | 0 |
| Federated Variational Inference: Towards Improved Personalization and Generalization | May 23, 2023 | Bayesian InferenceFederated Learning | —Unverified | 0 |
| DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder | May 23, 2023 | ClusteringDeep Clustering | CodeCode Available | 1 |
| Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent | May 23, 2023 | Variational Inference | —Unverified | 0 |
| Variational Inference with Coverage Guarantees in Simulation-Based Inference | May 23, 2023 | Variational Inference | CodeCode Available | 0 |
| Confidence-aware Personalized Federated Learning via Variational Expectation Maximization | May 21, 2023 | Federated LearningPersonalized Federated Learning | CodeCode Available | 1 |
| Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling | May 16, 2023 | DenoisingGeophysics | CodeCode Available | 0 |
| Score Operator Newton transport | May 16, 2023 | Bayesian Inferencevalid | —Unverified | 0 |
| Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics | May 15, 2023 | Image ReconstructionVariational Inference | —Unverified | 0 |
