| Balanced Training of Energy-Based Models with Adaptive Flow Sampling | Jun 1, 2023 | Density EstimationVariational Inference | —Unverified | 0 |
| Neural Markov Jump Processes | May 31, 2023 | Variational Inference | CodeCode Available | 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 |
| Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency | May 31, 2023 | Self-LearningText Generation | —Unverified | 0 |
| Federated Empirical Risk Minimization via Second-Order Method | May 27, 2023 | Federated Learningquantile regression | —Unverified | 0 |
| Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation | May 27, 2023 | Variational Inference | —Unverified | 0 |
| Differentiable Random Partition Models | May 26, 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 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Discriminative calibration: Check Bayesian computation from simulations and flexible classifier | May 24, 2023 | Variational Inference | CodeCode Available | 0 |
