importance sampling

Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022 PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation ICML 2022 Predictive Querying for Autoregressive Neural Sequence Models NeurIPS 2022 Rapid Convergence of Informed Importance Tempering AISTATS 2022 Robust and Scalable SDE Learning: A Functional Perspective ICLR 2022 Scaling Structured Inference with Randomization ICML 2022 Self-Normalized Importance Sampling for Neural Language Modeling Interspeech 2022 Sequence-to-Set Generative Models NeurIPS 2022 Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising NeurIPS 2022 Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022 Stochastic Reweighted Gradient Descent ICML 2022 Surrogate Likelihoods for Variational Annealed Importance Sampling ICML 2022 The Trade-offs of Domain Adaptation for Neural Language Models ACL 2022 USHER: Unbiased Sampling for Hindsight Experience Replay CoRL 2022 A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling AISTATS 2021 Adversarial Robustness of Streaming Algorithms through Importance Sampling NeurIPS 2021 Approximating a Distribution Using Weight Queries ICML 2021 A unified view of likelihood ratio and reparameterization gradients AISTATS 2021 Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling AAAI 2021 CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NeurIPS 2021 Challenges and Opportunities in High Dimensional Variational Inference NeurIPS 2021 Conformal Bayesian Computation NeurIPS 2021 Coresets for Classification – Simplified and Strengthened NeurIPS 2021 Coresets for Clustering with Missing Values NeurIPS 2021 Coupled Gradient Estimators for Discrete Latent Variables NeurIPS 2021