conftrace_
← Machine Learning
Machine Learning ›

Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
'05
'10
'15
'20
'25

Papers (including subtopics)

Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery INTERSPEECH 2018
A Structured Variational Autoencoder for Contextual Morphological Inflection ACL 2018
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation CVPR 2018
Bayesian Generalized Kernel Inference for Terrain Traversability Mapping CORL 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NIPS 2018
Bayesian Alignments of Warped Multi-Output Gaussian Processes NIPS 2018
Stochastic Wasserstein Barycenters ICML 2018
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NIPS 2018
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning IJCAI 2018
Variational Knowledge Graph Reasoning NAACL 2018
Structure Learning for Bayesian Networks over Labeled DAGs PGM 2018
Mental Sampling in Multimodal Representations NIPS 2018
Parameterised Queries and Lifted Query Answering IJCAI 2018
Deep Generative Models with Learnable Knowledge Constraints NIPS 2018
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Batch Normalized Deep Boltzmann Machines ACML 2018
Efficient Symbolic Integration for Probabilistic Inference IJCAI 2018
Boosting Variational Inference: an Optimization Perspective AISTATS 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Efficiently Sampling from Underlying Models RSS 2018
Learning and Testing Causal Models with Interventions NIPS 2018
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018
Curve Reconstruction via the Global Statistics of Natural Curves CVPR 2018
Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018
Causal Structure Learning via Temporal Markov Networks PGM 2018