metropolis-hastings sampling

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NeurIPS 2024 A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation CoNLL 2023 End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023 Fraud’s Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract) AAAI 2023 Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models ACL 2022 Natural gradient enables fast sampling in spiking neural networks NeurIPS 2022 Probing Script Knowledge from Pre-Trained Models EMNLP 2022 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021 Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning ICML 2020 Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020 AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling NeurIPS 2019 CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling AAAI 2019 Generating Fluent Adversarial Examples for Natural Languages ACL 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 X-DMM: Fast and Scalable Model Based Text Clustering AAAI 2019 Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017 Infinite Hidden Semi-Markov Modulated Interaction Point Process NeurIPS 2016 Learning Stochastic Inverses NeurIPS 2013 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NeurIPS 2012 Learning models of object structure NeurIPS 2009