markov chain monte carlo

Bayesian Causal Discovery in Directed Cyclic Graphs with Closed-Form Lag Bayes Factors UAI 2026 Counting and Sampling Subsets Using Block Covers UAI 2026 Covariate-dependent Hierarchical Dirichlet Processes JMLR 2026 Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange AAAI 2026 High-Accuracy Log-Concave Sampling with Stochastic Queries COLT 2026 Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities UAI 2026 Overlap Analysis of the Shortest Path Problem: Local Search, Landscapes, and Franz-Parisi Potential COLT 2026 Particle GFlowNets: Rethinking Generative Marginalization Models UAI 2026 Polynomial-time sampling despite disorder chaos COLT 2026 Scaling Up Bayesian DAG Sampling UAI 2026 Synthetic Curriculum Reinforces Compositional Text-to-Image Generation CVPR 2026 Text2Tabular – Reconstructing Tabular Research Data from Scientific Publications ACL 2026 The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks JMLR 2026 The Within-Orbit Adaptive Leapfrog No-U-Turn Sampler JMLR 2026 Underdamped Langevin MCMC with third order convergence JMLR 2026 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025 BARK: A Fully Bayesian Tree Kernel for Black-box Optimization ICML 2025 Bayesian Circular Regression with von Mises Quasi-Processes AISTATS 2025 Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability AISTATS 2025 Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs ICML 2025 Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space ICLR 2025 Can We Predict Performance of Large Models across Vision-Language Tasks? ICML 2025 Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs ICLR 2025 Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025 Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms ICML 2025