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Methodology
← Bayesian & Probabilistic
Artificial Intelligence
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Bayesian & Probabilistic
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Probabilistic Modeling
2591 directly classified papers
Papers per year
2000: 1
2001: 1
2002: 2
2003: 3
2004: 3
2005: 8
2006: 31
2007: 34
2008: 43
2009: 38
2010: 78
2011: 56
2012: 76
2013: 94
2014: 103
2015: 87
2016: 118
2017: 128
2018: 149
2019: 227
2020: 232
2021: 265
2022: 218
2023: 256
2024: 198
2025: 84
2026: 58
Papers
Design Adaptive AI for RTS Game by Learning Player's Build Order
IJCAI 2020
Learning Ising and Potts Models with Latent Variables
AISTATS 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
ICML 2020
Scalable Nonparametric Factorization for High-Order Interaction Events
AISTATS 2020
Expressiveness and Learning of Hidden Quantum Markov Models
AISTATS 2020
Modeling Shared responses in Neuroimaging Studies through MultiView ICA
NIPS 2020
Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions
AISTATS 2020
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search
AISTATS 2020
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract)
IJCAI 2020
Dynamic Embedding on Textual Networks via a Gaussian Process
AAAI 2020
Modeling Ambiguity with Many Annotators and Self-Assessments of Annotator Certainty
COLING 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
NIPS 2020
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
AISTATS 2020
Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains
NIPS 2020
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry
IJCAI 2020
From Support Propagation to Belief Propagation in Constraint Programming (Extended Abstract)
IJCAI 2020
State Variable Effects in Graphical Event Models
IJCAI 2020
A Complete Characterization of Projectivity for Statistical Relational Models
IJCAI 2020
Scaling Up AND/OR Abstraction Sampling
IJCAI 2020
Belief Merging Operators as Maximum Likelihood Estimators
IJCAI 2020
RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection
SEMEVAL 2020
Adaptive Discretization for Evaluation of Probabilistic Cost Functions
AISTATS 2020
Deep Bayesian Network for Visual Question Generation
WACV 2020
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes
UAI 2020
Graphical continuous Lyapunov models
UAI 2020
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