| Information Theory with Kernel Methods | Feb 17, 2022 | Variational Inference | —Unverified | 0 |
| Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods | Feb 17, 2022 | Variational Inference | —Unverified | 0 |
| Reinforcement Learning in Presence of Discrete Markovian Context Evolution | Feb 14, 2022 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Bernstein Flows for Flexible Posteriors in Variational Bayes | Feb 11, 2022 | Variational Inference | CodeCode Available | 0 |
| Bayesian Nonparametrics for Offline Skill Discovery | Feb 9, 2022 | Imitation Learningreinforcement-learning | CodeCode Available | 0 |
| A Variational Edge Partition Model for Supervised Graph Representation Learning | Feb 7, 2022 | ClassificationGraph Representation Learning | CodeCode Available | 0 |
| Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery | Feb 7, 2022 | DecoderDisentanglement | —Unverified | 0 |
| Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport | Feb 3, 2022 | Variational Inference | CodeCode Available | 0 |
| Posterior temperature optimized Bayesian models for inverse problems in medical imaging | Feb 2, 2022 | Bayesian OptimizationDenoising | CodeCode Available | 0 |
| AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation | Feb 1, 2022 | Computational Efficiencyparameter estimation | CodeCode Available | 0 |
