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metropolis-hastings sampling

21 papers

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Also known as

MH MHA MCMC

Co-occurring keywords

markov chain monte carlo (724) text generation (2903) energy-based model (248) bayesian inference (1904) adversarial training (1261) gibbs sampling (201) adversarial attack (1599) probabilistic model (476) language model (4573) controllable generation (220)

Papers

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