| A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options | Nov 13, 2023 | Gaussian ProcessesGPR | —Unverified | 0 | 0 |
| A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning | Dec 1, 2021 | Active LearningInductive Bias | —Unverified | 0 | 0 |
| A Generalization Bound for Online Variational Inference | Apr 8, 2019 | Bayesian InferenceGeneralization Bounds | —Unverified | 0 | 0 |
| A Generative Parser with a Discriminative Recognition Algorithm | Aug 1, 2017 | Constituency ParsingDecoder | —Unverified | 0 | 0 |
| Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks | Oct 25, 2023 | Conformal PredictionDecision Making | —Unverified | 0 | 0 |
| A Heavy-Tailed Algebra for Probabilistic Programming | Jun 15, 2023 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 | 0 |
| A heteroencoder architecture for prediction of failure locations in porous metals using variational inference | Jan 31, 2022 | DecoderVariational Inference | —Unverified | 0 | 0 |
| AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms | May 19, 2017 | Variational Inference | —Unverified | 0 | 0 |
| A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series | Nov 16, 2023 | Knowledge DistillationTime Series | —Unverified | 0 | 0 |
| A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference | Aug 4, 2017 | Dimensionality ReductionVariational Inference | —Unverified | 0 | 0 |
