Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
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
Extracting Latent Structure From Multiple Interacting Neural Populations
NIPS 2014
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process
NIPS 2014
An Efficient Approach for Assessing Hyperparameter Importance
ICML 2014
On the Bayes-Optimality of F-Measure Maximizers
JMLR 2014
Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing
JMLR 2014
Testing Unfaithful Gaussian Graphical Models
NIPS 2014
Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs
RSS 2014
Visual Tracking via Probability Continuous Outlier Model
CVPR 2014
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
ICML 2014
Probabilistic Partial Canonical Correlation Analysis
ICML 2014
A framework for studying synaptic plasticity with neural spike train data
NIPS 2014
Discovering Latent Network Structure in Point Process Data
ICML 2014
Robust Forward Algorithms via PAC-Bayes and Laplace Distributions
AISTATS 2014
Bayesian Multi-Scale Optimistic Optimization
AISTATS 2014
An inclusion optimal algorithm for chain graph structure learning
AISTATS 2014
Loopy Belief Propagation in the Presence of Determinism
AISTATS 2014
Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization
JMLR 2014
A New Approach to Probabilistic Programming Inference
AISTATS 2014
Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-specific Confounder Variables and Non-Gaussian Distributions
JMLR 2014
Articulated Pose Estimation via Over-parametrization and Noise Projection
RSS 2014
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
ICML 2014
Near Optimal Bayesian Active Learning for Decision Making
AISTATS 2014
Semantic Localization Via the Matrix Permanent
RSS 2014
Cover Tree Bayesian Reinforcement Learning
JMLR 2014
Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning
JMLR 2014
<
1
…
168
169
170
…
193
>