conftrace_

gradient-based sampling

15 papers

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Co-occurring keywords

markov chain monte carlo (725) hamiltonian monte carlo (92) discrete distribution (49) bayesian inference (1907) energy-based model (251) discrete sampling (10) importance sampling (318) langevin dynamics (128) probabilistic model (476) graphical model (864)

Papers

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NIPS 2024
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space ICML 2023
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection ICCV 2023
Structured Voronoi Sampling NIPS 2023
DISCS: A Benchmark for Discrete Sampling NIPS 2023
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics NIPS 2022
A Langevin-like Sampler for Discrete Distributions ICML 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NIPS 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 NIPS 2020
Safe Adaptive Importance Sampling NIPS 2017
Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares NIPS 2016
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014
Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012