| Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India | Dec 13, 2017 | BIG-bench Machine LearningVariational Inference | CodeCode Available | 0 | 5 |
| Modeling and inference of spatio-temporal protein dynamics across brain networks | Jan 18, 2019 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Gradient-Free Variational Inference using Policy Search | Jul 1, 2018 | Efficient ExplorationVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Approximation Based Variance Reduction for Reparameterization Gradients | Jul 29, 2020 | Variational Inference | CodeCode Available | 0 | 5 |
| Deep Recurrent Generative Decoder for Abstractive Text Summarization | Aug 2, 2017 | Abstractive Text SummarizationDecoder | CodeCode Available | 0 | 5 |
| Efficient Mixture Learning in Black-Box Variational Inference | Jun 11, 2024 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation | Nov 2, 2017 | Autonomous DrivingVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes | May 27, 2017 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Benchmarking and optimizing organism wide single-cell RNA alignment methods | Mar 26, 2025 | BenchmarkingDecoder | CodeCode Available | 0 | 5 |
| Efficient Nonparametric Tensor Decomposition for Binary and Count Data | Jan 15, 2024 | Tensor DecompositionVariational Inference | CodeCode Available | 0 | 5 |
| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Optimization of Loops and Limits with Randomized Telescoping Sums | May 16, 2019 | Meta-LearningVariational Inference | CodeCode Available | 0 | 5 |
| Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference | Jun 15, 2018 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 | 5 |
| Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Narrative Text Generation with a Latent Discrete Plan | Oct 7, 2020 | DecoderSentence | CodeCode Available | 0 | 5 |
| NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing | May 14, 2018 | Information RetrievalRetrieval | CodeCode Available | 0 | 5 |
| Functional Gradient Flows for Constrained Sampling | Oct 30, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
| Neural Dynamic Focused Topic Model | Jan 26, 2023 | modelTopic Models | CodeCode Available | 0 | 5 |
| PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video | May 16, 2025 | Data AugmentationSelf-Supervised Learning | CodeCode Available | 0 | 5 |
| Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference | Jun 6, 2015 | Small Data Image ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 | 5 |
| Functional Variational Bayesian Neural Networks | Mar 14, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
