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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Bayesian Inference
4,821 papers
Papers per year
2001: 1
2002: 1
2003: 5
2004: 2
2005: 9
2006: 22
2007: 32
2008: 36
2009: 38
2010: 72
2011: 86
2012: 85
2013: 148
2014: 179
2015: 162
2016: 183
2017: 255
2018: 278
2019: 458
2020: 469
2021: 554
2022: 477
2023: 576
2024: 348
2025: 255
2026: 90
Papers
Subset-of-data variational inference for deep Gaussian-processes regression
UAI 2021
Faster lifting for two-variable logic using cell graphs
UAI 2021
Post-hoc loss-calibration for Bayesian neural networks
UAI 2021
Trusted-maximizers entropy search for efficient Bayesian optimization
UAI 2021
Multi-output Gaussian Processes for uncertainty-aware recommender systems
UAI 2021
Information theoretic meta learning with Gaussian processes
UAI 2021
Combining pseudo-point and state space approximations for sum-separable Gaussian Processes
UAI 2021
Hierarchical learning of Hidden Markov Models with clustering regularization
UAI 2021
Federated stochastic gradient Langevin dynamics
UAI 2021
Certification of iterative predictions in Bayesian neural networks
UAI 2021
Variational refinement for importance sampling using the forward Kullback-Leibler divergence
UAI 2021
Diagnostics for conditional density models and Bayesian inference algorithms
UAI 2021
Active multi-fidelity Bayesian online changepoint detection
UAI 2021
q-Paths: Generalizing the geometric annealing path using power means
UAI 2021
Leveraging probabilistic circuits for nonparametric multi-output regression
UAI 2021
Efficient online inference for nonparametric mixture models
UAI 2021
No-regret approximate inference via Bayesian optimisation
UAI 2021
Geometric rates of convergence for kernel-based sampling algorithms
UAI 2021
Sequential core-set Monte Carlo
UAI 2021
Few-Shot Learning via Feature Hallucination With Variational Inference
WACV 2021
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
WACV 2021
Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting
WACV 2021
Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation With an Application to Psoriatic Arthritis Radiographs
WACV 2021
Active Learning for Bayesian 3D Hand Pose Estimation
WACV 2021
Same Same but DifferNet: Semi-Supervised Defect Detection With Normalizing Flows
WACV 2021
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