monte carlo sampling

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models ACL 2026 Continuum Dropout for Neural Differential Equations AAAI 2026 Improving Value-based Process Verifier via Low-Cost Variance Reduction AAAI 2026 Monte Carlo Diffusion for Generalizable Learning-Based RANSAC AAAI 2026 Rethinking Pose Refinement in 3D Gaussian Splatting under Pose Prior and Geometric Uncertainty CVPR 2026 A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis EMNLP 2025 Consensus Based Stochastic Optimal Control ICML 2025 Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds AISTATS 2025 Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs ACL 2025 Fixing Distribution Shifts of LLM Self-Critique via On-Policy Self-Play Training ACL 2025 FLUE: Streamlined Uncertainty Estimation for Large Language Models AAAI 2025 HPS: Hard Preference Sampling for Human Preference Alignment ICML 2025 MCGAN: Enhancing GAN Training with Regression-Based Generator Loss AAAI 2025 Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025 Radiance Field-Based Pose Estimation via Decoupled Optimization Under Challenging Initial Conditions WACV 2025 Robust Conformal Prediction with a Single Binary Certificate ICLR 2025 Statistical Hypothesis Testing for Auditing Robustness in Language Models ICML 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025 TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering CVPR 2025 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities ICLR 2024 High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction AAAI 2024 Joint control variate for faster black-box variational inference AISTATS 2024 On the Second-Order Convergence of Biased Policy Gradient Algorithms ICML 2024 Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations AISTATS 2024