Bayesian & Probabilistic

Truncated Inverse-Lévy Measure Representation of the Beta Process AISTATS 2025 Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025 Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG UAI 2025 TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility AISTATS 2025 Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025 Unconditionally Calibrated Priors for Beta Mixture Density Networks AISTATS 2025 UNHaP: Unmixing Noise from Hawkes Processes AISTATS 2025 Variance-Reducing Couplings for Random Features ICLR 2025 Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space AISTATS 2025 Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025 Variational Schrödinger Momentum Diffusion AISTATS 2025 Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks AISTATS 2025 Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context AISTATS 2025 Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference AISTATS 2025 Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025 Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models AISTATS 2025 Weighted Sum of Gaussian Process Latent Variable Models AISTATS 2025 Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence UAI 2025 When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings AISTATS 2025 Your copula is a classifier in disguise: classification-based copula density estimation AISTATS 2025 $χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains UAI 2024 $Ψ$net: Efficient Causal Modeling at Scale PGM 2024 3D Gaussian Splatting as Markov Chain Monte Carlo NeurIPS 2024 A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NeurIPS 2024 A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024