Bayesian & Probabilistic

Recursive Learning of Asymptotic Variational Objectives AISTATS 2025 Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization AAAI 2025 Regularized Dikin Walks for Sampling Truncated Logconcave Measures, Mixed Isoperimetry and Beyond Worst-Case Analysis COLT 2025 Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction AAAI 2025 Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations UAI 2025 Representation Surgery in Model Merging with Probabilistic Modeling ICML 2025 Residual Deep Gaussian Processes on Manifolds ICLR 2025 Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025 Restructuring Tractable Probabilistic Circuits AISTATS 2025 RESuM: A Rare Event Surrogate Model for Physics Detector Design ICLR 2025 Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning ICML 2025 Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations UAI 2025 Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data AISTATS 2025 Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models ICLR 2025 Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations AISTATS 2025 Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning L4DC 2025 Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis COLING 2025 Scalable Bayesian Learning with posteriors ICLR 2025 Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference UAI 2025 Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models AISTATS 2025 Scaling Probabilistic Circuits via Data Partitioning UAI 2025 Scaling Probabilistic Circuits via Monarch Matrices ICML 2025 Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation UAI 2025 Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues AAAI 2025 Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors JMLR 2025