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| Functional Variational Inference based on Stochastic Process Generators | Dec 1, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation | Oct 17, 2020 | DecoderFew-Shot Learning | —Unverified | 0 |
| Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma | Jun 11, 2023 | CPUVariational Inference | —Unverified | 0 |
| Algorithms for item categorization based on ordinal ranking data | Sep 29, 2016 | Community DetectionStochastic Block Model | —Unverified | 0 |
| Fast and Unified Path Gradient Estimators for Normalizing Flows | Mar 23, 2024 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements | Nov 12, 2013 | Tensor DecompositionVariational Inference | —Unverified | 0 |
| Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels | Jan 1, 2021 | General ClassificationMetric Learning | —Unverified | 0 |
| Fast Dual Variational Inference for Non-Conjugate LGMs | Jun 5, 2013 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| A Filtering Approach to Stochastic Variational Inference | Dec 1, 2014 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
