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Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Bayesian Inference
4821 directly classified 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
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation
AAAI 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel
AISTATS 2023
A Latent-Variable Model for Intrinsic Probing
AAAI 2023
Free-Form Variational Inference for Gaussian Process State-Space Models
ICML 2023
Distance-to-Set Priors and Constrained Bayesian Inference
AISTATS 2023
Beam Search Optimized Batch Bayesian Active Learning
AAAI 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation
CVPR 2023
Wing shape estimation with Extended Kalman filtering and KalmanNet neural network of a flexible wing aircraft
L4DC 2023
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization
AAAI 2023
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
AAAI 2023
Bayesian Models for Targeted Cyber Deception Strategies (Student Abstract)
AAAI 2023
Discovering Many Diverse Solutions with Bayesian Optimization
AISTATS 2023
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers
AAAI 2023
Frequency Domain Gaussian Process Models for $H^∞$ Uncertainties
L4DC 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
NIPS 2023
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
L4DC 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
ICML 2023
Physics-Guided Active Learning of Environmental Flow Fields
L4DC 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
ICML 2023
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data
L4DC 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
JMLR 2023
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
JMLR 2023
Filling the population statistics gap: Swiss German reference data on F0 and speech tempo for forensic contexts
INTERSPEECH 2023
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression
JMLR 2023
Microcanonical Hamiltonian Monte Carlo
JMLR 2023
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