conftrace_

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19 papers

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Co-occurring keywords

variational inference (2069) markov chain monte carlo (725) sampling method (109) graph neural network (3962) importance sampling (318) bayesian inference (1907) domain adaptation (4595) semi-supervised learning (2341) particle optimization (8) lower bound (173)

Papers

Mutual Information Estimation via Normalizing Flows NIPS 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024
Variational Resampling AISTATS 2024
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning IJCAI 2024
Stein $\Pi$-Importance Sampling NIPS 2023
Data Selection for Language Models via Importance Resampling NIPS 2023
Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems RSS 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation ICCV 2023
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework IJCAI 2022
Learning Optimal Flows for Non-Equilibrium Importance Sampling NIPS 2022
Deep Fusion Clustering Network AAAI 2021
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021
Metropolis-Hastings Data Augmentation for Graph Neural Networks NIPS 2021
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory AISTATS 2020
Sample Adaptive MCMC NIPS 2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs UAI 2019
Target-Based State and Tracking Algorithm for Spoken Dialogue System INTERSPEECH 2016
Domain Adaptation with Coupled Subspaces AISTATS 2011