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← Optimization & Theory
Machine Learning
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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
Improved PAC-Bayesian Bounds for Linear Regression
AAAI 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
AAAI 2020
Justification-Based Reliability in Machine Learning
AAAI 2020
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework
AAAI 2020
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
AAAI 2020
Partial Multi-Label Learning with Noisy Label Identification
AAAI 2020
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations
AAAI 2020
Aggregated Gradient Langevin Dynamics
AAAI 2020
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process
AAAI 2020
Posterior-Guided Neural Architecture Search
AAAI 2020
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes
AAAI 2020
Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism
AAAI 2020
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
AAAI 2020
Recursively Binary Modification Model for Nested Named Entity Recognition
AAAI 2020
Low Resource Sequence Tagging with Weak Labels
AAAI 2020
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
AAAI 2020
Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior
AAAI 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
AAAI 2020
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
AAAI 2020
Experimental Design for Optimization of Orthogonal Projection Pursuit Models
AAAI 2020
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic
AAAI 2020
Gradient-Based Optimization for Bayesian Preference Elicitation
AAAI 2020
Recovering Causal Structures from Low-Order Conditional Independencies
AAAI 2020
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series
AAAI 2020
Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms
AAAI 2020
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