sampling distribution

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills ICML 2025 Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation ACL 2025 When do GFlowNets learn the right distribution? ICLR 2025 Elucidating the Exposure Bias in Diffusion Models ICLR 2024 Exactly Minimax-Optimal Locally Differentially Private Sampling NeurIPS 2024 Generalized Differentiable RANSAC ICCV 2023 GLIME: General, Stable and Local LIME Explanation NeurIPS 2023 Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture CVPR 2022 Parallelised Diffeomorphic Sampling-based Motion Planning CoRL 2021 Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ACL 2019 Adaptive Sampled Softmax with Kernel Based Sampling ICML 2018 The Importance of Sampling inMeta-Reinforcement Learning NeurIPS 2018 Safe Adaptive Importance Sampling NeurIPS 2017 An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection ICML 2015 Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015 Active Comparison of Prediction Models NeurIPS 2012 Learning with the weighted trace-norm under arbitrary sampling distributions NeurIPS 2011 Active Estimation of F-Measures NeurIPS 2010 Active learning for misspecified generalized linear models NeurIPS 2006