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)

Wasserstein Variational Inference NIPS 2018
Information-theoretic Limits for Community Detection in Network Models NIPS 2018
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction CVPR 2018
Efficient nonmyopic batch active search NIPS 2018
Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model JMLR 2018
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CORL 2018
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images EMNLP 2018
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data EMNLP 2018
Sum-Product-Quotient Networks AISTATS 2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective CVPR 2018
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models JMLR 2018
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018
Exponentiated Strongly Rayleigh Distributions NIPS 2018
Monoaural Audio Source Separation Using Variational Autoencoders INTERSPEECH 2018
Variational Fourier Features for Gaussian Processes JMLR 2018
Compressing Neural Networks using the Variational Information Bottleneck ICML 2018
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar CVPR 2018
Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018
An Order-based Algorithm for Learning Structure of Bayesian Networks PGM 2018
Variational Inference with Tail-adaptive f-Divergence NIPS 2018
Large-Scale Stochastic Sampling from the Probability Simplex NIPS 2018
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018
Patchwork Kriging for Large-scale Gaussian Process Regression JMLR 2018
Bayesian Network Structure Learning with Side Constraints PGM 2018
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes NIPS 2018