monte carlo estimation

Conditional neural control variates for variance reduction in Bayesian inverse problems UAI 2026 LLM-MC-Affect: LLM-Based Monte Carlo Modeling of Affective Trajectories and Latent Ambiguity for Interpersonal Dynamic Insight ACL 2026 Dyve: Thinking Fast and Slow for Dynamic Process Verification EMNLP 2025 Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision EMNLP 2025 How Well Does First-Token Entropy Approximate Word Entropy as a Psycholinguistic Predictor? IJCNLP 2025 Local Stochastic Sensitivity Analysis For Dynamical Systems AISTATS 2025 StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting ICCV 2025 The Lessons of Developing Process Reward Models in Mathematical Reasoning ACL 2025 Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization ICLR 2024 Characterizing Data Point Vulnerability as Average-Case Robustness UAI 2024 Differentiable Rendering with Reparameterized Volume Sampling AISTATS 2024 Fearless Stochasticity in Expectation Propagation NeurIPS 2024 One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently NeurIPS 2024 Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023 Can Large Language Models Capture Dissenting Human Voices? EMNLP 2023 Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023 Markovian Sliced Wasserstein Distances: Beyond Independent Projections NeurIPS 2023 Plateau-Reduced Differentiable Path Tracing CVPR 2023 Probably Approximate Shapley Fairness with Applications in Machine Learning AAAI 2023 Query-Based Hard-Image Retrieval for Object Detection at Test Time AAAI 2023 ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021 A unified view of likelihood ratio and reparameterization gradients AISTATS 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021 Independence-aware Advantage Estimation IJCAI 2021 Adversarial Attacks on Probabilistic Autoregressive Forecasting Models ICML 2020