Bayesian Inference
6,267 papers
Papers per year
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Papers
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
NeurIPS 2024
Active Statistical Inference
ICML 2024
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach
AISTATS 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
ECCV 2024
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization
EMNLP 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization
AISTATS 2024
Adaptive Observation Cost Control for Variational Quantum Eigensolvers
ICML 2024
A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators
JMLR 2024
Additive smoothing error in backward variational inference for general state-space models
JMLR 2024
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
ICML 2024
A Divide and Conquer Approach for Solving Structural Causal Models
PGM 2024
Adversarial Likelihood Estimation With One-Way Flows
WACV 2024
Adversarially-Robust Inference on Trees via Belief Propagation
COLT 2024
A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton
AAAI 2024
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
JMLR 2024
A Framework for Improving the Reliability of Black-box Variational Inference
JMLR 2024
A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models
EACL 2024
Ai-sampler: Adversarial Learning of Markov kernels with involutive maps
ICML 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
COLT 2024
All-in-one simulation-based inference
ICML 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
NeurIPS 2024
Amortized Bayesian Experimental Design for Decision-Making
NeurIPS 2024
Amortized Variational Deep Kernel Learning
ICML 2024
Amortizing intractable inference in diffusion models for vision, language, and control
NeurIPS 2024
An Adaptive Implicit Hitting Set Algorithm for MAP and MPE Inference
PGM 2024