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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
Probabilistic Reasoning and Learning for Trustworthy AI
AAAI 2023
Taming Continuous Posteriors for Latent Variational Dialogue Policies
AAAI 2023
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
ICML 2023
Model-Based Offline Weighted Policy Optimization (Student Abstract)
AAAI 2023
Bayesian Models for Targeted Cyber Deception Strategies (Student Abstract)
AAAI 2023
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
AAAI 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
AAAI 2023
Exploration via Epistemic Value Estimation
AAAI 2023
Probabilistic Shape Models of Anatomy Directly from Images
AAAI 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
ICML 2023
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
ICML 2023
Width and Depth Limits Commute in Residual Networks
ICML 2023
Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling
AAAI 2023
Planning with Hidden Parameter Polynomial MDPs
AAAI 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
ICML 2023
Few-Shot Object Detection via Variational Feature Aggregation
AAAI 2023
Transformed Gaussian Processes for Characterizing a Model’s Discrepancy
ACML 2023
Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation
AAAI 2023
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification
ACML 2023
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
ACML 2023
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation
AAAI 2023
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers
AAAI 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations
ICML 2023
Thompson Exploration with Best Challenger Rule in Best Arm Identification
ACML 2023
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
AAAI 2023
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