conftrace_

distributed inference

30 papers

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Co-occurring keywords

markov chain monte carlo (725) parallel computing (146) bayesian inference (1907) variational inference (2069) bayesian nonparametrics (270) distributed learning (563) parallel inference (19) gibbs sampling (201) distributed computing (98) hierarchical dirichlet process (49)

Papers

EdgeFormer: Latency-Aware Collaborative Multi-Head Attention of Transformer Inference in Edge Networks ACL 2026
Minute-Long Videos with Dual Parallelisms AAAI 2026
Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025
APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs ACL 2025
Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024
HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices NAACL 2024
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models CVPR 2024
DISCO: Distributed Inference With Sparse Communications WACV 2024
Exponential Quantum Communication Advantage in Distributed Inference and Learning NIPS 2024
LinguaLinked: Distributed Large Language Model Inference on Mobile Devices ACL 2024
Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023
Distributed Inference and Fine-tuning of Large Language Models Over The Internet NIPS 2023
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning AAAI 2023
Distributed, partially collapsed MCMC for Bayesian Nonparametrics AISTATS 2020
Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes UAI 2020
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data JMLR 2020
Distributed Inference for Linear Support Vector Machine JMLR 2019
Communication-Constrained Inference and the Role of Shared Randomness ICML 2019
Stein Variational Message Passing for Continuous Graphical Models ICML 2018
Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation JMLR 2018
Communication Efficient Parallel Algorithms for Optimization on Manifolds NIPS 2018
Distributed Inference for Dirichlet Process Mixture Models ICML 2015
Streaming, Distributed Variational Inference for Bayesian Nonparametrics NIPS 2015
Distributed Stochastic Gradient MCMC ICML 2014
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NIPS 2014