control variate

Conditional neural control variates for variance reduction in Bayesian inverse problems UAI 2026 Eulerian Gaussian Splatting using Hashed Probability Pyramids CVPR 2026 Scalable Model-Assisted Multi-Target Estimation in Large Image Collections UAI 2026 Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation CoRL 2025 Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack ICCV 2025 SFESS: Score Function Estimators for k-Subset Sampling ICLR 2025 SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity AISTATS 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025 Covariate Shift Corrected Conditional Randomization Test NeurIPS 2024 Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NeurIPS 2024 Joint control variate for faster black-box variational inference AISTATS 2024 Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024 On Divergence Measures for Training GFlowNets NeurIPS 2024 SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning NeurIPS 2024 Sliced Wasserstein Estimation with Control Variates ICLR 2024 Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates ICML 2024 Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023 Efficient Attention via Control Variates ICLR 2023 Meta-learning Control Variates: Variance Reduction with Limited Data UAI 2023 Vector-Valued Control Variates ICML 2023 When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NeurIPS 2023 A Quadrature Rule combining Control Variates and Adaptive Importance Sampling NeurIPS 2022 Double Control Variates for Gradient Estimation in Discrete Latent Variable Models AISTATS 2022 Gradient Estimation with Discrete Stein Operators NeurIPS 2022 SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning NeurIPS 2022