monte carlo sampling

Reverse Diffusion Monte Carlo ICLR 2024 RoPINN: Region Optimized Physics-Informed Neural Networks NeurIPS 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing ICLR 2024 Using Stratified Sampling to Improve LIME Image Explanations AAAI 2024 Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NeurIPS 2024 Denoising Diffusion Samplers ICLR 2023 Generative Calibration for In-context Learning EMNLP 2023 Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space ICML 2023 Importance Weighted Expectation-Maximization for Protein Sequence Design ICML 2023 Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference COLT 2023 Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations ICLR 2023 NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination CVPR 2023 Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation ICCV 2023 Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models ICML 2023 Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023 Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023 Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023 Learning General Gaussian Mixture Model with Integral Cosine Similarity IJCAI 2022 Learning Long-Term Reward Redistribution via Randomized Return Decomposition ICLR 2022 Sampling Permutations for Shapley Value Estimation JMLR 2022 Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search CVPR 2022 AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR 2021 Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network CVPR 2021 Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks UAI 2021