conftrace
_
Papers
Trends
Conferences
Explore
Authors
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Optimization & Theory
Machine Learning
›
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
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition
ICCV 2019
Bayesian Adaptive Superpixel Segmentation
ICCV 2019
Robust Variational Bayesian Point Set Registration
ICCV 2019
A Bayesian Optimization Framework for Neural Network Compression
ICCV 2019
An Alarm System for Segmentation Algorithm Based on Shape Model
ICCV 2019
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
ICML 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
ICML 2019
Bayesian Optimization of Composite Functions
ICML 2019
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
ICML 2019
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior
ICML 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
ICML 2019
Switching Linear Dynamics for Variational Bayes Filtering
ICML 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression
ICML 2019
Automated Model Selection with Bayesian Quadrature
ICML 2019
Variational Inference for sparse network reconstruction from count data
ICML 2019
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
ICML 2019
Bayesian Optimization Meets Bayesian Optimal Stopping
ICML 2019
Learning interpretable continuous-time models of latent stochastic dynamical systems
ICML 2019
Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization
ICML 2019
Adaptive Sensor Placement for Continuous Spaces
ICML 2019
Automatic Posterior Transformation for Likelihood-Free Inference
ICML 2019
Bayesian Deconditional Kernel Mean Embeddings
ICML 2019
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models
ICML 2019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
ICML 2019
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver
ICML 2019
<
1
…
122
123
124
…
193
>