gradient-based sampling

Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling ICLR 2025 Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NeurIPS 2024 Bayesian Hierarchical Models for Counterfactual Estimation AISTATS 2023 DISCS: A Benchmark for Discrete Sampling NeurIPS 2023 Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection ICCV 2023 Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space ICML 2023 Structured Voronoi Sampling NeurIPS 2023 A Langevin-like Sampler for Discrete Distributions ICML 2022 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NeurIPS 2022 COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics NeurIPS 2022 Tuning-Free Generalized Hamiltonian Monte Carlo AISTATS 2022 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021 Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NeurIPS 2020 Safe Adaptive Importance Sampling NeurIPS 2017 Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares NeurIPS 2016 The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012