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Methodology
← Optimization & Theory
Machine Learning
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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
Bayesian Adaptive Matrix Factorization With Automatic Model Selection
CVPR 2015
Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs
CVPR 2015
Small-Variance Nonparametric Clustering on the Hypersphere
CVPR 2015
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
CVPR 2015
A trust-region method for stochastic variational inference with applications to streaming data
ICML 2015
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models
ICML 2015
Discovering Temporal Causal Relations from Subsampled Data
ICML 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
ICML 2015
Variational Inference for Gaussian Process Modulated Poisson Processes
ICML 2015
Scalable Variational Inference in Log-supermodular Models
ICML 2015
Large-scale Distributed Dependent Nonparametric Trees
ICML 2015
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
ICML 2015
Variational Inference with Normalizing Flows
ICML 2015
Sparse Variational Inference for Generalized GP Models
ICML 2015
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs
ICML 2015
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
ICML 2015
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data
ICML 2015
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models
ICML 2015
Markov Mixed Membership Models
ICML 2015
The Benefits of Learning with Strongly Convex Approximate Inference
ICML 2015
Semantically-Aware Aerial Reconstruction From Multi-Modal Data
ICCV 2015
The Likelihood-Ratio Test and Efficient Robust Estimation
ICCV 2015
A Gaussian Process Model of Quasar Spectral Energy Distributions
NIPS 2015
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
ICML 2015
A Fast Variational Approach for Learning Markov Random Field Language Models
ICML 2015
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