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bayesian sampling

19 papers

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Co-occurring keywords

markov chain monte carlo (725) bayesian inference (1907) hamiltonian monte carlo (92) stochastic gradient (296) langevin dynamics (128) variance reduction (523) log-concave distribution (46) stein variational gradient descent (49) sampling algorithm (130) posterior sampling (152)

Papers

AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search AAAI 2026
Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025
The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons NIPS 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024
On cyclical MCMC sampling AISTATS 2024
Geometric No-U-Turn Samplers: Concepts and Evaluation PGM 2024
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Neural ensemble search via Bayesian sampling UAI 2022
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example AAAI 2021
Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020
Variance Reduction in Stochastic Particle-Optimization Sampling ICML 2020
Self-Adversarially Learned Bayesian Sampling AAAI 2019
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks NIPS 2017
Adaptive Bayesian Sampling with Monte Carlo EM NIPS 2017
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Optimistic Bayesian Sampling in Contextual-Bandit Problems JMLR 2012
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011