| A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options | Nov 13, 2023 | Gaussian ProcessesGPR | —Unverified | 0 |
| PGODE: Towards High-quality System Dynamics Modeling | Nov 11, 2023 | DisentanglementVariational Inference | —Unverified | 0 |
| Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization | Nov 10, 2023 | Variational Inference | —Unverified | 0 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 |
| Neural Structure Learning with Stochastic Differential Equations | Nov 6, 2023 | Variational Inference | —Unverified | 0 |
| Forward χ^2 Divergence Based Variational Importance Sampling | Nov 4, 2023 | parameter estimationVariational Inference | —Unverified | 0 |
| Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks | Nov 4, 2023 | Active LearningDecision Making | CodeCode Available | 0 |
| Disentangled Representation Learning with Transmitted Information Bottleneck | Nov 3, 2023 | DisentanglementRepresentation Learning | —Unverified | 0 |
| VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification | Nov 2, 2023 | Contrastive LearningNode Classification | —Unverified | 0 |
| Rethinking Variational Inference for Probabilistic Programs with Stochastic Support | Nov 1, 2023 | Variational Inference | CodeCode Available | 0 |
| Diffusion models for probabilistic programming | Nov 1, 2023 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows | Oct 31, 2023 | Variational Inference | CodeCode Available | 0 |
| Progressive Neural Network for Multi-Horizon Time Series Forecasting | Oct 30, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images | Oct 30, 2023 | Gaussian ProcessesMultiple Instance Learning | —Unverified | 0 |
| DySurv: dynamic deep learning model for survival analysis with conditional variational inference | Oct 28, 2023 | Deep LearningSurvival Analysis | —Unverified | 0 |
| Deep Transformed Gaussian Processes | Oct 27, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration | Oct 26, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability | Oct 26, 2023 | MemorizationVariational Inference | —Unverified | 0 |
| Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference | Oct 25, 2023 | Variational Inference | —Unverified | 0 |
| Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks | Oct 25, 2023 | Conformal PredictionDecision Making | —Unverified | 0 |
| Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization | Oct 25, 2023 | Bayesian OptimizationVariational Inference | CodeCode Available | 0 |
| Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions | Oct 25, 2023 | Domain GeneralizationVariational Inference | —Unverified | 0 |
| Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference | Oct 24, 2023 | DecoderVariational Inference | —Unverified | 0 |
| Normalizing flow-based deep variational Bayesian network for seismic multi-hazards and impacts estimation from InSAR imagery | Oct 20, 2023 | Variational Inference | —Unverified | 0 |
| Variational Inference for SDEs Driven by Fractional Noise | Oct 19, 2023 | Variational InferenceVideo Prediction | —Unverified | 0 |
| Optimising Distributions with Natural Gradient Surrogates | Oct 18, 2023 | Variational Inference | CodeCode Available | 0 |
| Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning | Oct 17, 2023 | AttributeContrastive Learning | —Unverified | 0 |
| PhyloGFN: Phylogenetic inference with generative flow networks | Oct 12, 2023 | Variational Inference | CodeCode Available | 0 |
| High Dimensional Causal Inference with Variational Backdoor Adjustment | Oct 9, 2023 | Causal InferenceVariational Inference | CodeCode Available | 0 |
| Subspace Identification for Multi-Source Domain Adaptation | Oct 7, 2023 | DisentanglementDomain Adaptation | CodeCode Available | 0 |
| Variational Inference for GARCH-family Models | Oct 5, 2023 | Bayesian InferenceEconometrics | —Unverified | 0 |
| Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning | Oct 5, 2023 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Sampling via Gradient Flows in the Space of Probability Measures | Oct 5, 2023 | Variational Inference | —Unverified | 0 |
| STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent | Oct 3, 2023 | Bayesian InferenceGPU | —Unverified | 0 |
| Improved Variational Bayesian Phylogenetic Inference using Mixtures | Oct 2, 2023 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Reparameterized Variational Rejection Sampling | Sep 26, 2023 | Variational Inference | —Unverified | 0 |
| Variational Inference for Scalable 3D Object-centric Learning | Sep 25, 2023 | NeRFObject | —Unverified | 0 |
| Independent projections of diffusions: Gradient flows for variational inference and optimal mean field approximations | Sep 23, 2023 | Variational Inference | —Unverified | 0 |
| Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes | Sep 22, 2023 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Semi-Supervised Variational Inference over Nonlinear Channels | Sep 21, 2023 | Meta-LearningVariational Inference | —Unverified | 0 |
| Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models | Sep 20, 2023 | DenoisingEfficient Neural Network | —Unverified | 0 |
| Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder | Sep 19, 2023 | Computational EfficiencySpeech Enhancement | —Unverified | 0 |
| Towards the TopMost: A Topic Modeling System Toolkit | Sep 13, 2023 | Topic ModelsVariational Inference | —Unverified | 0 |
| Pearl's and Jeffrey's Update as Modes of Learning in Probabilistic Programming | Sep 13, 2023 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Amortised Inference in Bayesian Neural Networks | Sep 6, 2023 | Meta-LearningVariational Inference | CodeCode Available | 0 |
| Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference | Sep 6, 2023 | Point ProcessesTime Series | —Unverified | 0 |
| Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks | Sep 6, 2023 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Exact Inference for Continuous-Time Gaussian Process Dynamics | Sep 5, 2023 | Variational Inference | —Unverified | 0 |
| Distributed Variational Inference for Online Supervised Learning | Sep 5, 2023 | Binary ClassificationVariational Inference | CodeCode Available | 0 |
| Interactive Graph Convolutional Filtering | Sep 4, 2023 | Collaborative FilteringMeta-Learning | —Unverified | 0 |