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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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Papers (including subtopics)

Human-AI Collaborative Bayesian Optimisation NIPS 2022
Monte Carlo Tree Descent for Black-Box Optimization NIPS 2022
Uniform deconvolution for Poisson Point Processes JMLR 2022
Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability IJCAI 2022
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NIPS 2022
Knowledge transfer for learning subject-specific causal models PGM 2022
A Probabilistic Graph Coupling View of Dimension Reduction NIPS 2022
Variational nearest neighbor Gaussian process ICML 2022
Variational Inference for Infinitely Deep Neural Networks ICML 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs NAACL 2022
Towards More Natural Artificial Languages EMNLP 2022
Fixed-Distance Hamiltonian Monte Carlo NIPS 2022
Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs EMNLP 2022
Deep Neyman-Scott Processes AISTATS 2022
Conceptualizing Treatment Leakage in Text-based Causal Inference NAACL 2022
Variational inference via Wasserstein gradient flows NIPS 2022
Probable Domain Generalization via Quantile Risk Minimization NIPS 2022
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach NIPS 2022
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning NIPS 2022
On the relationship between variational inference and auto-associative memory NIPS 2022
Deep Hierarchy in Bandits ICML 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming NIPS 2022
Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022
A Nonconvex Framework for Structured Dynamic Covariance Recovery JMLR 2022