conftrace_

monte carlo estimator

15 papers

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Co-occurring keywords

variance reduction (523) importance sampling (318) monte carlo estimation (35) control variate (54) variational inference (2069) stein identity (3) bayesian inference (1907) reinforcement learning (4352) inverse rendering (118) neural network (6616)

Papers

StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting ICCV 2025
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NIPS 2024
Vector-Valued Control Variates ICML 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023
Meta-learning Control Variates: Variance Reduction with Limited Data UAI 2023
Plateau-Reduced Differentiable Path Tracing CVPR 2023
Multiple-policy High-confidence Policy Evaluation AISTATS 2023
A Finite Sample Complexity Bound for Distributionally Robust Q-learning AISTATS 2023
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NIPS 2022
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning NIPS 2022
A unified view of likelihood ratio and reparameterization gradients AISTATS 2021
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators JMLR 2020
Adaptive Antithetic Sampling for Variance Reduction ICML 2019
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs AISTATS 2018
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014