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Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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Papers (including subtopics)

Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023 Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023 Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023 Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding ACL 2023 Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization Interspeech 2023 Multi Time Scale World Models NeurIPS 2023 Multivariate Probabilistic Monocular 3D Object Detection WACV 2023 Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023 Nearest Neighbor Dirichlet Mixtures JMLR 2023 NeuPSL: Neural Probabilistic Soft Logic IJCAI 2023 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023 Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NeurIPS 2023 Neural Markov Jump Processes ICML 2023 Neural Spline Search for Quantile Probabilistic Modeling AAAI 2023 Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NeurIPS 2023 Nonlinear Structural Equation Model Guided Gaussian Mixture Hierarchical Topic Modeling ACL 2023 Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery AISTATS 2023 Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023 Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling AAAI 2023 Normalizing Flows for Interventional Density Estimation ICML 2023 Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables AAAI 2023 On a Class of Gibbs Sampling over Networks COLT 2023 On Calibrating Diffusion Probabilistic Models NeurIPS 2023 On Distance and Kernel Measures of Conditional Dependence JMLR 2023 One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding ICML 2023