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Methodology
← Bayesian & Probabilistic
Machine Learning
›
Bayesian & Probabilistic
›
Bayesian Inference
1724 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 3
2004: 3
2005: 4
2006: 38
2007: 35
2008: 38
2009: 45
2010: 58
2011: 51
2012: 77
2013: 107
2014: 93
2015: 40
2016: 73
2017: 69
2018: 99
2019: 109
2020: 141
2021: 117
2022: 151
2023: 146
2024: 162
2025: 62
Papers
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds
AAAI 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
ICML 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
COLING 2022
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks
INTERSPEECH 2022
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
AAAI 2022
Approximate Inference for Stochastic Planning in Factored Spaces
PGM 2022
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling
PGM 2022
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
ICML 2022
Tractable Uncertainty for Structure Learning
ICML 2022
Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides of the Same Coin?
WACV 2022
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations
JMLR 2022
Score Matched Neural Exponential Families for Likelihood-Free Inference
JMLR 2022
A General Recipe for Likelihood-free Bayesian Optimization
ICML 2022
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition
INTERSPEECH 2022
Deep Hierarchy in Bandits
ICML 2022
The AIM and EM Algorithms for Learning from Coarse Data
JMLR 2022
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
AAAI 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes
ICML 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
ICML 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
ICML 2022
A Langevin-like Sampler for Discrete Distributions
ICML 2022
Feature Space Particle Inference for Neural Network Ensembles
ICML 2022
Nonparametric Involutive Markov Chain Monte Carlo
ICML 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
ICML 2022
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
ICML 2022
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