Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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2000
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Papers (including subtopics)
Multilevel Bayesian Quadrature
AISTATS 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
Multi-view Collaborative Gaussian Process Dynamical Systems
JMLR 2023
MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract)
IJCAI 2023
Nearest Neighbor Dirichlet Mixtures
JMLR 2023
NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs
IJCAI 2023
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
NeurIPS 2023
Neural Diffusion Processes
ICML 2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
NeurIPS 2023
Neural Markov Jump Processes
ICML 2023
Neural probabilistic logic programming in discrete-continuous domains
UAI 2023
Neural Spline Search for Quantile Probabilistic Modeling
AAAI 2023
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits
NeurIPS 2023
Noise-Aware Statistical Inference with Differentially Private Synthetic Data
AISTATS 2023
Non-adversarial training of Neural SDEs with signature kernel scores
NeurIPS 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
AISTATS 2023
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
AISTATS 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling
AAAI 2023
Normalizing Flows for Human Pose Anomaly Detection
ICCV 2023
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery
ACL 2023
Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits
ICML 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
NeurIPS 2023
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
AISTATS 2023
On Building a Semi-Automated Framework for Generating Causal Bayesian Networks from Raw Text
IJCAI 2023