| B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data | Mar 13, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| A Sparse and Adaptive Prior for Time-Dependent Model Parameters | Oct 9, 2013 | Variational Inference | —Unverified | 0 |
| A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference | Aug 4, 2017 | Dimensionality ReductionVariational Inference | —Unverified | 0 |
| CausalMMM: Learning Causal Structure for Marketing Mix Modeling | Jun 24, 2024 | MarketingVariational Inference | —Unverified | 0 |
| A Stochastic Decoder for Neural Machine Translation | May 28, 2018 | DecoderMachine Translation | —Unverified | 0 |
| Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach | Apr 25, 2023 | Causal InferenceDecision Making | —Unverified | 0 |
| Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism | May 12, 2025 | ImputationTime Series | —Unverified | 0 |
| A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features | Feb 28, 2016 | Variational InferenceVocal Bursts Type Prediction | —Unverified | 0 |
| Boosting Variational Inference With Locally Adaptive Step-Sizes | May 19, 2021 | Variational Inference | —Unverified | 0 |
| Boosting Variational Inference: an Optimization Perspective | Aug 5, 2017 | Variational Inference | —Unverified | 0 |
