conditional sampling

AgentMark: Utility-Preserving Behavioral Watermarking for Agents ACL 2026 Learning with Simulators: No Regret in a Computationally Bounded World COLT 2026 DiffPuter: Empowering Diffusion Models for Missing Data Imputation ICLR 2025 Hyperparameter Optimization via Interacting with Probabilistic Circuits AutoML 2025 Learning Single Index Models with Diffusion Priors ICML 2025 Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models ICML 2025 Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024 Principled Gradient-Based MCMC for Conditional Sampling of Text ICML 2024 Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling COLT 2023 Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NeurIPS 2023 Learning Hidden Markov Models Using Conditional Samples COLT 2023 Mixtures of All Trees AISTATS 2023 PDPP:Projected Diffusion for Procedure Planning in Instructional Videos CVPR 2023 Practical and Asymptotically Exact Conditional Sampling in Diffusion Models NeurIPS 2023 User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023 Knowledge Distillation: Bad Models Can Be Good Role Models NeurIPS 2022 Video Diffusion Models NeurIPS 2022 LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies ICCV 2021 Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics ICML 2021 Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows ICLR 2021 Structured Output Learning with Conditional Generative Flows AAAI 2020 Absent Data Generating Classifier for Imbalanced Class Sizes JMLR 2015 Faster Algorithms for Testing under Conditional Sampling COLT 2015 Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013