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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
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
NIPS 2019
Coordinated hippocampal-entorhinal replay as structural inference
NIPS 2019
Kernel quadrature with DPPs
NIPS 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
NIPS 2019
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
NIPS 2019
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
NIPS 2019
Generating and Sampling Orbits for Lifted Probabilistic Inference
UAI 2019
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
NIPS 2019
Uncertainty on Asynchronous Time Event Prediction
NIPS 2019
Exact Sampling of Directed Acyclic Graphs from Modular Distributions
UAI 2019
Practical and Consistent Estimation of f-Divergences
NIPS 2019
Discriminative Topic Modeling with Logistic LDA
NIPS 2019
Conformal Prediction Under Covariate Shift
NIPS 2019
Cross-sectional Learning of Extremal Dependence among Financial Assets
NIPS 2019
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields
IJCAI 2019
Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract)
IJCAI 2019
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models
IJCAI 2019
Variational Training for Large-Scale Noisy-OR Bayesian Networks
UAI 2019
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling
UAI 2019
Approximate Inference in Structured Instances with Noisy Categorical Observations
UAI 2019
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
UAI 2019
Precision-Recall Balanced Topic Modelling
NIPS 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation
NIPS 2019
The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA
UAI 2019
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
CVPR 2019
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