conftrace_

monte carlo sampling

83 papers

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Also known as

MC SAMPLING MCS

Co-occurring keywords

bayesian inference (1907) monte carlo method (126) variational inference (2069) importance sampling (318) latent variable model (564) variance reduction (523) markov chain monte carlo (725) reinforcement learning (4352) monte carlo (44) stochastic gradient (296)

Papers

Monte Carlo Diffusion for Generalizable Learning-Based RANSAC AAAI 2026
Continuum Dropout for Neural Differential Equations AAAI 2026
Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models ACL 2026
Improving Value-based Process Verifier via Low-Cost Variance Reduction AAAI 2026
A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis EMNLP 2025
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs ACL 2025
FLUE: Streamlined Uncertainty Estimation for Large Language Models AAAI 2025
Radiance Field-Based Pose Estimation via Decoupled Optimization Under Challenging Initial Conditions WACV 2025
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss AAAI 2025
Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025
Fixing Distribution Shifts of LLM Self-Critique via On-Policy Self-Play Training ACL 2025
TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering CVPR 2025
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction AAAI 2024
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NIPS 2024
RoPINN: Region Optimized Physics-Informed Neural Networks NIPS 2024
Using Stratified Sampling to Improve LIME Image Explanations AAAI 2024
Joint control variate for faster black-box variational inference AISTATS 2024
Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations AISTATS 2024
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models ICML 2023
Importance Weighted Expectation-Maximization for Protein Sequence Design ICML 2023
NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination CVPR 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023