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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
Pathwise Derivatives Beyond the Reparameterization Trick
ICML 2018
Variational Bayesian dropout: pitfalls and fixes
ICML 2018
CRVI: Convex Relaxation for Variational Inference
ICML 2018
Probabilistic Recurrent State-Space Models
ICML 2018
Variational Inference and Model Selection with Generalized Evidence Bounds
ICML 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
ICML 2018
Efficient Gradient-Free Variational Inference using Policy Search
ICML 2018
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
ICML 2018
Query Complexity of Bayesian Private Learning
NIPS 2018
Sprucing up the trees – Error detection in treebanks
COLING 2018
Variational Inference with Tail-adaptive f-Divergence
NIPS 2018
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
NIPS 2018
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
NIPS 2018
Distributed Multitask Reinforcement Learning with Quadratic Convergence
NIPS 2018
Transfer of Value Functions via Variational Methods
NIPS 2018
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
NIPS 2018
Bayesian Model-Agnostic Meta-Learning
NIPS 2018
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
NIPS 2018
Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies
COLING 2018
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation
CORL 2018
Similarity Dependent Chinese Restaurant Process for Cognate Identification in Multilingual Wordlists
CONLL 2018
Embedded-State Latent Conditional Random Fields for Sequence Labeling
CONLL 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
NIPS 2018
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
NIPS 2018
Bayesian Quadrature for Multiple Related Integrals
ICML 2018
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