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← Optimization & Theory
Machine Learning
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Optimization & Theory
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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
Nonparametric Relational Models with Superrectangulation
AISTATS 2022
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
AISTATS 2022
Marginalising over Stationary Kernels with Bayesian Quadrature
AISTATS 2022
Pick-and-Mix Information Operators for Probabilistic ODE Solvers
AISTATS 2022
Differentially Private Federated Learning on Heterogeneous Data
AISTATS 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
AISTATS 2022
Rapid Convergence of Informed Importance Tempering
AISTATS 2022
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion
AISTATS 2022
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach
AISTATS 2022
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation
AISTATS 2022
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff
AISTATS 2022
Adversarial Interpretation of Bayesian Inference
ALT 2022
Predictive State Propensity Subclassification (PSPS): A causal inference algorithm for data-driven propensity score stratification
CLEAR 2022
Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev
COLT 2022
Improved analysis for a proximal algorithm for sampling
COLT 2022
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods
COLT 2022
Pixel Screening Based Intermediate Correction for Blind Deblurring
CVPR 2022
Bayesian Invariant Risk Minimization
CVPR 2022
Enhancing Adversarial Training With Second-Order Statistics of Weights
CVPR 2022
Deep Hybrid Models for Out-of-Distribution Detection
CVPR 2022
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model
CVPR 2022
Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition
CVPR 2022
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
CVPR 2022
EPro-PnP: Generalized End-to-End Probabilistic Perspective-N-Points for Monocular Object Pose Estimation
CVPR 2022
Adaptive Gating for Single-Photon 3D Imaging
CVPR 2022
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