| Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks | Aug 17, 2023 | Computational EfficiencyModel Compression | —Unverified | 0 | 0 |
| Higher-Order Inference for Multi-Class Log-Supermodular Models | Dec 1, 2015 | Image SegmentationSemantic Segmentation | —Unverified | 0 | 0 |
| Constrained Structure Learning for Scene Graph Generation | Jan 27, 2022 | Graph GenerationScene Graph Generation | —Unverified | 0 | 0 |
| HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer | Jul 30, 2023 | Style TransferVariational Inference | —Unverified | 0 | 0 |
| Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method | Mar 22, 2021 | continuous-controlContinuous Control | —Unverified | 0 | 0 |
| Structured Dropout Variational Inference for Bayesian Neural Networks | Feb 16, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 | 0 |
| Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification | May 31, 2025 | Variational Inference | —Unverified | 0 | 0 |
| Automated Variational Inference in Probabilistic Programming | Jan 7, 2013 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 | 0 |
| Constrained Bayesian Inference for Low Rank Multitask Learning | Sep 26, 2013 | Bayesian Inferenceparameter estimation | —Unverified | 0 | 0 |
| Automated Variational Inference for Gaussian Process Models | Dec 1, 2014 | Variational Inference | —Unverified | 0 | 0 |
| Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis | Feb 4, 2025 | Binary ClassificationUncertainty Quantification | —Unverified | 0 | 0 |
| Hierarchical models for neural population dynamics in the presence of non-stationarity | Oct 12, 2014 | Variational Inference | —Unverified | 0 | 0 |
| Connection Discovery using Shared Images by Gaussian Relational Topic Model | Dec 12, 2016 | MarketingVariational Inference | —Unverified | 0 | 0 |
| Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes | Jul 19, 2017 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations | Dec 23, 2021 | Autonomous Drivingimage-classification | —Unverified | 0 | 0 |
| Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors | Oct 29, 2024 | Short Text ClusteringText Clustering | —Unverified | 0 | 0 |
| Hierarchical Implicit Models and Likelihood-Free Variational Inference | Feb 28, 2017 | Generative Adversarial NetworkText Generation | —Unverified | 0 | 0 |
| Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond | Aug 20, 2019 | Recommendation SystemsVariational Inference | —Unverified | 0 | 0 |
| Confidence Estimation via Sequential Likelihood Mixing | Feb 20, 2025 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction | Oct 19, 2024 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 | 0 |
| A Deterministic Global Optimization Method for Variational Inference | Mar 21, 2017 | global-optimizationVariational Inference | —Unverified | 0 | 0 |
| Incremental Variational Inference for Latent Dirichlet Allocation | Jul 17, 2015 | Variational Inference | —Unverified | 0 | 0 |
| Independent projections of diffusions: Gradient flows for variational inference and optimal mean field approximations | Sep 23, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations | Sep 5, 2019 | DisentanglementVariational Inference | —Unverified | 0 | 0 |
| Hierarchical Bayes Autoencoders | Sep 25, 2019 | DecoderVariational Inference | —Unverified | 0 | 0 |