monte carlo integration

Beyond Bounds: Quantifying the Probability of Counterfactual Fairness UAI 2026 On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning ICLR 2025 DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation NeurIPS 2024 Pareto Smoothed Importance Sampling JMLR 2024 Quasi-Monte Carlo for 3D Sliced Wasserstein ICLR 2024 Q-functionals for Value-Based Continuous Control AAAI 2023 Sampling-free Inference for Ab-Initio Potential Energy Surface Networks ICLR 2023 A Quadrature Rule combining Control Variates and Adaptive Importance Sampling NeurIPS 2022 Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NeurIPS 2022 SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration NeurIPS 2022 Trustworthy Monte Carlo NeurIPS 2022 Amortized Monte Carlo Integration ICML 2019 ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks ICLR 2019 On two ways to use determinantal point processes for Monte Carlo integration NeurIPS 2019 Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration ICML 2019 Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods AISTATS 2018 Maximizing acquisition functions for Bayesian optimization NeurIPS 2018 Data-driven Random Fourier Features using Stein Effect IJCAI 2017 A Locally Adaptive Normal Distribution NeurIPS 2016 Active Regression by Stratification NeurIPS 2014 Toward Optimal Stratification for Stratified Monte-Carlo Integration ICML 2013 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 2012 Finite Time Analysis of Stratified Sampling for Monte Carlo NeurIPS 2011