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Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization

Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization

7 June 2018
Umut Simsekli
Çağatay Yıldız
T. H. Nguyen
G. Richard
A. Cemgil
ArXiv (abs)PDFHTML

Papers citing "Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization"

14 / 14 papers shown
Title
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders
  up to 100 Trillion Parameters
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters
Xiangru Lian
Binhang Yuan
Xuefeng Zhu
Yulong Wang
Yongjun He
...
Lei Yuan
Hai-bo Yu
Sen Yang
Ce Zhang
Ji Liu
VLM
99
36
0
10 Nov 2021
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method
L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method
Bugra Can
Saeed Soori
M. Dehnavi
Mert Gurbuzbalaban
72
2
0
20 Aug 2021
BAGUA: Scaling up Distributed Learning with System Relaxations
BAGUA: Scaling up Distributed Learning with System Relaxations
Shaoduo Gan
Xiangru Lian
Rui Wang
Jianbin Chang
Chengjun Liu
...
Jiawei Jiang
Binhang Yuan
Sen Yang
Ji Liu
Ce Zhang
82
30
0
03 Jul 2021
Distributed Learning Systems with First-order Methods
Distributed Learning Systems with First-order Methods
Ji Liu
Ce Zhang
36
44
0
12 Apr 2021
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum
  under Heavy-Tailed Gradient Noise
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
Umut Simsekli
Lingjiong Zhu
Yee Whye Teh
Mert Gurbuzbalaban
90
50
0
13 Feb 2020
Robust Distributed Accelerated Stochastic Gradient Methods for
  Multi-Agent Networks
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks
Alireza Fallah
Mert Gurbuzbalaban
Asuman Ozdaglar
Umut Simsekli
Lingjiong Zhu
102
28
0
19 Oct 2019
First Exit Time Analysis of Stochastic Gradient Descent Under
  Heavy-Tailed Gradient Noise
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
T. H. Nguyen
Umut Simsekli
Mert Gurbuzbalaban
G. Richard
79
65
0
21 Jun 2019
Communication trade-offs for synchronized distributed SGD with large
  step size
Communication trade-offs for synchronized distributed SGD with large step size
Kumar Kshitij Patel
Aymeric Dieuleveut
FedML
66
27
0
25 Apr 2019
Probabilistic Permutation Synchronization using the Riemannian Structure
  of the Birkhoff Polytope
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
Tolga Birdal
Umut Simsekli
83
38
0
11 Apr 2019
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for
  Non-Convex Optimization
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
T. H. Nguyen
Umut Simsekli
G. Richard
80
28
0
22 Jan 2019
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for
  Non-Convex Stochastic Optimization: Non-Asymptotic Performance Bounds and
  Momentum-Based Acceleration
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Stochastic Optimization: Non-Asymptotic Performance Bounds and Momentum-Based Acceleration
Xuefeng Gao
Mert Gurbuzbalaban
Lingjiong Zhu
105
60
0
12 Sep 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal
  Transport and Diffusions
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
Antoine Liutkus
Umut Simsekli
Szymon Majewski
Alain Durmus
Fabian-Robert Stöter
DiffM
98
122
0
21 Jun 2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered
  Geodesic MCMC
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
Tolga Birdal
Umut Simsekli
M. Eken
Slobodan Ilic
92
38
0
31 May 2018
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex
  Optimization
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Pan Xu
Jinghui Chen
Difan Zou
Quanquan Gu
90
205
0
20 Jul 2017
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