Bayesian & Probabilistic
4,733 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
4
14
4
10
85
88
79
95
142
123
184
213
208
164
201
204
276
303
411
345
414
327
418
308
112
'5
'10
'15
'20
'25
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