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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
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
AAAI 2021
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
AAAI 2021
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method
AAAI 2021
Treatment Effect Estimation with Disentangled Latent Factors
AAAI 2021
Local Differential Privacy for Bayesian Optimization
AAAI 2021
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach
AAAI 2021
Bayesian Optimized Monte Carlo Planning
AAAI 2021
High Dimensional Level Set Estimation with Bayesian Neural Network
AAAI 2021
Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks
AAAI 2021
Learning the Parameters of Bayesian Networks from Uncertain Data
AAAI 2021
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
AAAI 2021
Variational Inference for Learning Representations of Natural Language Edits
AAAI 2021
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning
AAAI 2021
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
AAAI 2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
AAAI 2021
Opponent Hand Estimation in the Game of Gin Rummy
AAAI 2021
A Data-Driven Approach for Gin Rummy Hand Evaluation
AAAI 2021
Educational Question Mining At Scale: Prediction, Analysis and Personalization
AAAI 2021
Probabilistic Robustness Quantification of Neural Networks
AAAI 2021
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
ACL 2021
Cascaded Head-colliding Attention
ACL 2021
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
ACL 2021
GTM: A Generative Triple-wise Model for Conversational Question Generation
ACL 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
ACL 2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
ACL 2021
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