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Methodology
← Bayesian & Probabilistic
Machine Learning
›
Bayesian & Probabilistic
›
Probabilistic Modeling
1884 directly classified papers
Papers per year
2002: 1
2003: 6
2004: 3
2005: 5
2006: 49
2007: 50
2008: 36
2009: 45
2010: 77
2011: 48
2012: 101
2013: 122
2014: 107
2015: 46
2016: 91
2017: 93
2018: 125
2019: 127
2020: 182
2021: 113
2022: 136
2023: 105
2024: 145
2025: 70
2026: 1
Papers
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
NIPS 2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
ICML 2022
Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases
ACL 2022
Toward Annotator Group Bias in Crowdsourcing
ACL 2022
Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models
ACL 2022
Foundation Posteriors for Approximate Probabilistic Inference
NIPS 2022
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
NIPS 2022
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo
ICML 2021
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
CVPR 2021
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
ICCV 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
ICML 2021
Self-Conditioned Probabilistic Learning of Video Rescaling
ICCV 2021
Probabilistic Embeddings for Cross-Modal Retrieval
CVPR 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction
CVPR 2021
Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
L4DC 2021
Continuous-time edge modelling using non-parametric point processes
NIPS 2021
On the difficulty of unbiased alpha divergence minimization
ICML 2021
Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition
CVPR 2021
Symbol Grounding and Task Learning from Imperfect Corrections
ACL 2021
Parametric Distributions to Model Numerical Emotion Labels
INTERSPEECH 2021
Alpha-Stable Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Speech Enhancement and Dereverberation
INTERSPEECH 2021
Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements
ICCV 2021
Probabilistic Modeling for Human Mesh Recovery
ICCV 2021
Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments
ACL 2021
Statistical Estimation from Dependent Data
ICML 2021
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