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1806.02617
Cited By
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
7 June 2018
Umut Simsekli
Çağatay Yıldız
T. H. Nguyen
G. Richard
A. Cemgil
Re-assign community
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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
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
Bugra Can
Saeed Soori
M. Dehnavi
Mert Gurbuzbalaban
72
2
0
20 Aug 2021
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
Ji Liu
Ce Zhang
36
44
0
12 Apr 2021
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
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
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
Kumar Kshitij Patel
Aymeric Dieuleveut
FedML
66
27
0
25 Apr 2019
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
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
Xuefeng Gao
Mert Gurbuzbalaban
Lingjiong Zhu
105
60
0
12 Sep 2018
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
Tolga Birdal
Umut Simsekli
M. Eken
Slobodan Ilic
92
38
0
31 May 2018
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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