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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
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'25

Papers (including subtopics)

Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space NIPS 2023
VaRT: Variational Regression Trees NIPS 2023
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023
Interpreting Sentiment Composition with Latent Semantic Tree ACL 2023
Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference ICML 2023
On the Identifiability and Estimation of Causal Location-Scale Noise Models ICML 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NIPS 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration NIPS 2023
Bit Allocation using Optimization ICML 2023
Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023
A Probabilistic Framework for Discovering New Intents ACL 2023
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023
Taming Continuous Posteriors for Latent Variational Dialogue Policies AAAI 2023
Nearest Neighbor Dirichlet Mixtures JMLR 2023
Variational Boosted Soft Trees AISTATS 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023
Moment Matching Denoising Gibbs Sampling NIPS 2023
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process JMLR 2023
Improving multiple-try Metropolis with local balancing JMLR 2023
Learning Curves for Deep Structured Gaussian Feature Models NIPS 2023
Attention as Implicit Structural Inference NIPS 2023