conftrace_

model averaging

62 papers

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Co-occurring keywords

bayesian inference (1907) stochastic gradient descent (1091) ensemble learning (1274) distributed learning (563) federated learning (1333) neural network (6616) communication efficiency (297) variational inference (2069) bayesian network (378) distributed training (188)

Papers

An online passive-aggressive algorithm for difference-of-squares classification NIPS 2021
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NIPS 2021
YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You Need SEMEVAL 2021
Denoising Word Embeddings by Averaging in a Shared Space ACL 2021
TenTrans Large-Scale Multilingual Machine Translation System for WMT21 EMNLP 2021
Test-time Collective Prediction NIPS 2021
Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging JMLR 2020
Bayesian Network Model Averaging Classifiers by Subbagging PGM 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization NIPS 2020
Learning under Model Misspecification: Applications to Variational and Ensemble methods NIPS 2020
Subspace Inference for Bayesian Deep Learning UAI 2019
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization ICML 2019
Two Tiered Distributed Training Algorithm for Acoustic Modeling INTERSPEECH 2019
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019
Finding All Bayesian Network Structures within a Factor of Optimal AAAI 2019
Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification JMLR 2018
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018
Marian: Cost-effective High-Quality Neural Machine Translation in C++ ACL 2018
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication NIPS 2018
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data AISTATS 2017