conftrace_
← Artificial Intelligence
Artificial Intelligence ›

Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

1
9
114
135
395
144
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning UAI 2019
Automated Model Selection with Bayesian Quadrature ICML 2019
Bayesian Optimization with Binary Auxiliary Information UAI 2019
A Variational Auto-Encoder Model for Stochastic Point Processes CVPR 2019
Robust Bayesian and Light Neural Networks for Voice Spoofing Detection INTERSPEECH 2019
Aligning Vector-spaces with Noisy Supervised Lexicon NAACL 2019
Thompson Sampling and Approximate Inference NIPS 2019
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019
Combinatorial Bayesian Optimization using the Graph Cartesian Product NIPS 2019
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning ICML 2019
Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019
Thompson Sampling for Multinomial Logit Contextual Bandits NIPS 2019
Modeling Behavioral Aspects of Social Media Discourse for Moral Classification NAACL 2019
Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NIPS 2019
A Bayesian Perspective on the Deep Image Prior CVPR 2019
Self-Adversarially Learned Bayesian Sampling AAAI 2019
Adding Constraints to Bayesian Inverse Problems AAAI 2019
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd AAAI 2019
Efficient learning of smooth probability functions from Bernoulli tests with guarantees ICML 2019
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay NIPS 2019
Scalable Thompson Sampling via Optimal Transport AISTATS 2019
Deep Bayesian Natural Language Processing ACL 2019
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NIPS 2019
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019