Bayesian & Probabilistic
4,733 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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142
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164
201
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276
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411
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Papers (including subtopics)
Deep Reference Priors: What is the best way to pretrain a model?
ICML 2022
Density Ratio Estimation via Infinitesimal Classification
AISTATS 2022
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
ICLR 2022
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
AAAI 2022
Differential privacy for symmetric log-concave mechanisms
AISTATS 2022
Dimension-free convergence rates for gradient Langevin dynamics in RKHS
COLT 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound
PGM 2022
Discovery of Single Independent Latent Variable
NeurIPS 2022
Disentangled Spatiotemporal Graph Generative Models
AAAI 2022
Disentangling Uncertainty in Machine Translation Evaluation
EMNLP 2022
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
JMLR 2022
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
ICML 2022
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks
AISTATS 2022
Distribution Compression in Near-Linear Time
ICLR 2022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
AAAI 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
NAACL 2022
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
ICML 2022
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets
AAAI 2022
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
ICML 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
JMLR 2022
Efficient Neural Causal Discovery without Acyclicity Constraints
ICLR 2022
Efficient Sampling on Riemannian Manifolds via Langevin MCMC
NeurIPS 2022
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
JMLR 2022
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
CVPR 2022
EM’s Convergence in Gaussian Latent Tree Models
COLT 2022