Bayesian Inference

Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention ICML 2025 Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets ICML 2025 Decoupling epistemic and aleatoric uncertainties with possibility theory AISTATS 2025 Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025 Deep Bayesian Filter for Bayes-Faithful Data Assimilation ICML 2025 Deep Distributed Optimization for Large-Scale Quadratic Programming ICLR 2025 Deep Generative Quantile Bayes AISTATS 2025 Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization JMLR 2025 Deep Random Features for Scalable Interpolation of Spatiotemporal Data ICLR 2025 DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search ICLR 2025 DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025 Degree of Interference: A General Framework For Causal Inference Under Interference JMLR 2025 Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025 Density estimation with LLMs: a geometric investigation of in-context learning trajectories ICLR 2025 Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning ICML 2025 Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds AISTATS 2025 Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025 Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025 Differentiable Causal Discovery for Latent Hierarchical Causal Models ICLR 2025 Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms ICML 2025 Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025 DiffPuter: Empowering Diffusion Models for Missing Data Imputation ICLR 2025 Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025 Diffusion Models for Attribution AAAI 2025 Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator IJCAI 2025