Bayesian & Probabilistic

Fast Fourier Bayesian Quadrature AISTATS 2024 Fast Interactive Search under a Scale-Free Comparison Oracle UAI 2024 FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NeurIPS 2024 Fast parallel sampling under isoperimetry COLT 2024 Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm COLT 2024 Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024 Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024 From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach NeurIPS 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024 Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 Gated Inference Network: Inference and Learning State-Space Models NeurIPS 2024 Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling COLT 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Gaussian Process Neural Additive Models AAAI 2024 Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024 Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons AAAI 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 Generative Adversarial Model-Based Optimization via Source Critic Regularization NeurIPS 2024 Geometric No-U-Turn Samplers: Concepts and Evaluation PGM 2024 Globally Convergent Variational Inference NeurIPS 2024 GmGM: a fast multi-axis Gaussian graphical model AISTATS 2024 Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NeurIPS 2024 Gradients of Functions of Large Matrices NeurIPS 2024