Bayesian Inference

Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025 Language-Based Bayesian Optimization Research Assistant (BORA) IJCAI 2025 Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly EMNLP 2025 Laplace Sample Information: Data Informativeness Through a Bayesian Lens ICLR 2025 Latent Bayesian Optimization via Autoregressive Normalizing Flows ICLR 2025 Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data ICLR 2025 Latent Variable Estimation in Bayesian Black-Litterman Models ICML 2025 Learnability of Parameter-Bounded Bayes Nets AAAI 2025 Learned Reference-based Diffusion Sampler for multi-modal distributions ICLR 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning ICML 2025 Learning Extrapolative Sequence Transformations from Markov Chains ICML 2025 Learning from negative feedback, or positive feedback or both ICLR 2025 Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025 Learning Latent Graph Structures and their Uncertainty ICML 2025 Learning Likelihood-Free Reference Priors ICML 2025 Learning Safe Control via On-the-Fly Bandit Exploration ICML 2025 Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching ICLR 2025 Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025 Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025 Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation CVPR 2025 Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems AAAI 2025 LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning ICLR 2025 Linearization Turns Neural Operators into Function-Valued Gaussian Processes ICML 2025 LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025