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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
PAC-Bayes Un-Expected Bernstein Inequality
NIPS 2019
Bayesian Counterfactual Risk Minimization
ICML 2019
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI
NIPS 2019
Approximate Inference Turns Deep Networks into Gaussian Processes
NIPS 2019
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
NIPS 2019
Copula-like Variational Inference
NIPS 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning
NIPS 2019
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models
IJCAI 2019
Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty
ICCV 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy
AISTATS 2019
Adaptive Sensor Placement for Continuous Spaces
ICML 2019
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter
ACML 2019
Sparse Variational Inference: Bayesian Coresets from Scratch
NIPS 2019
Robust Person Re-Identification by Modelling Feature Uncertainty
ICCV 2019
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
NIPS 2019
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks
IJCAI 2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
NIPS 2019
The Thermodynamic Variational Objective
NIPS 2019
Efficient Bayesian Experimental Design for Implicit Models
AISTATS 2019
Bayesian Deconditional Kernel Mean Embeddings
ICML 2019
Learning Plackett-Luce Mixtures from Partial Preferences
AAAI 2019
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization
ACL 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
MLHC 2019
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
NIPS 2019
Implicit Deep Latent Variable Models for Text Generation
IJCNLP 2019
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