| Using the Path of Least Resistance to Explain Deep Networks | Feb 17, 2025 | Variational Inference | CodeCode Available | 0 | 5 |
| VaiPhy: a Variational Inference Based Algorithm for Phylogeny | Mar 1, 2022 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge | Sep 23, 2024 | Anomaly DetectionVariational Inference | CodeCode Available | 0 | 5 |
| Deconfounding Imitation Learning with Variational Inference | Nov 4, 2022 | Imitation LearningVariational Inference | CodeCode Available | 0 | 5 |
| Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem | Apr 16, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Harnessing Out-Of-Distribution Examples via Augmenting Content and Style | Jul 7, 2022 | Data AugmentationDisentanglement | CodeCode Available | 0 | 5 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Collapsed Variational Bounds for Bayesian Neural Networks | Dec 1, 2021 | Variational Inference | CodeCode Available | 0 | 5 |
| Hierarchical Importance Weighted Autoencoders | May 13, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference | Jan 1, 2018 | Computational EfficiencyVariational Inference | CodeCode Available | 0 | 5 |
| Structured Recognition for Generative Models with Explaining Away | Sep 12, 2022 | Density EstimationHippocampus | CodeCode Available | 0 | 5 |
| Hamiltonian Variational Auto-Encoder | May 29, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure | Nov 22, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 | 5 |
| Analyses of Multi-collection Corpora via Compound Topic Modeling | Jun 17, 2019 | Topic ModelsVariational Inference | CodeCode Available | 0 | 5 |
| Handling the Positive-Definite Constraint in the Bayesian Learning Rule | Feb 24, 2020 | validVariational Inference | CodeCode Available | 0 | 5 |
| Implicit Generative Prior for Bayesian Neural Networks | Apr 27, 2024 | Classification ConsistencyComputational Efficiency | CodeCode Available | 0 | 5 |
| Indian Buffet process for model selection in convolved multiple-output Gaussian processes | Mar 22, 2015 | Gaussian ProcessesModel Selection | CodeCode Available | 0 | 5 |
| 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 |
| Single Episode Policy Transfer in Reinforcement Learning | Oct 17, 2019 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 | 5 |
| Data Association with Gaussian Processes | Oct 16, 2018 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| A Variational Perspective on Generative Flow Networks | Oct 14, 2022 | Variational Inference | —Unverified | 0 | 0 |
| Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation | Feb 23, 2022 | Model SelectionVariational Inference | —Unverified | 0 | 0 |
| Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference | Jun 5, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| A variational inference framework for inverse problems | Mar 10, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Cyberattack Detection using Deep Generative Models with Variational Inference | May 31, 2018 | Variational Inference | —Unverified | 0 | 0 |
| CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem | Oct 2, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors | Nov 26, 2021 | Model SelectionTime Series | —Unverified | 0 | 0 |
| Analog Bayesian neural networks are insensitive to the shape of the weight distribution | Jan 9, 2025 | Variational Inference | —Unverified | 0 | 0 |
| CRVI: Convex Relaxation for Variational Inference | Jul 1, 2018 | Inference Optimizationregression | —Unverified | 0 | 0 |
| Cross-modal variational inference for bijective signal-symbol translation | Feb 10, 2020 | Audio GenerationDensity Estimation | —Unverified | 0 | 0 |
| A Variational Dirichlet Framework for Out-of-Distribution Detection | Nov 18, 2018 | Out-of-Distribution DetectionVariational Inference | —Unverified | 0 | 0 |
| A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression | Sep 8, 2015 | General Classificationregression | —Unverified | 0 | 0 |
| Coupled Compound Poisson Factorization | Jan 9, 2017 | ClusteringVariational Inference | —Unverified | 0 | 0 |
| A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities | Aug 5, 2021 | Decision MakingUncertainty Quantification | —Unverified | 0 | 0 |
| Amplify Graph Learning for Recommendation via Sparsity Completion | Jun 27, 2024 | Collaborative FilteringGraph Learning | —Unverified | 0 | 0 |
| ADMM-based Networked Stochastic Variational Inference | Feb 27, 2018 | ArticlesDocument Classification | —Unverified | 0 | 0 |
| Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging | Aug 27, 2024 | Bayesian InferenceMiscellaneous | —Unverified | 0 | 0 |
| Correlated Random Measures | Jul 2, 2015 | Variational Inference | —Unverified | 0 | 0 |
| A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies | Sep 9, 2022 | parameter estimationTriplet | —Unverified | 0 | 0 |
| Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks | Apr 2, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Correlated Mixed Membership Modeling of Somatic Mutations | May 21, 2020 | Variational Inference | —Unverified | 0 | 0 |
| Amortized Variational Inference: A Systematic Review | Sep 22, 2022 | Representation LearningVariational Inference | —Unverified | 0 | 0 |
| Correlated Equilibria for Approximate Variational Inference in MRFs | Apr 10, 2016 | FairnessVariational Inference | —Unverified | 0 | 0 |
| Correcting the Sub-optimal Bit Allocation | Sep 29, 2022 | Variational InferenceVideo Compression | —Unverified | 0 | 0 |
| A Variational Analysis of Stochastic Gradient Algorithms | Feb 8, 2016 | Variational Inference | —Unverified | 0 | 0 |
| Copula variational inference | Jun 10, 2015 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |
| A Variant of Gaussian Process Dynamical Systems | Jun 9, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Amortized Variational Inference for Simple Hierarchical Models | Nov 4, 2021 | Variational Inference | —Unverified | 0 | 0 |