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Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization
v1v2 (latest)

Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization

8 October 2024
Guy Kornowski
Daogao Liu
Kunal Talwar
ArXiv (abs)PDFHTML

Papers citing "Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization"

24 / 24 papers shown
Title
Adaptive Batch Size for Privately Finding Second-Order Stationary Points
Adaptive Batch Size for Privately Finding Second-Order Stationary Points
Daogao Liu
Kunal Talwar
409
0
0
10 Oct 2024
Private Zeroth-Order Nonsmooth Nonconvex Optimization
Private Zeroth-Order Nonsmooth Nonconvex Optimization
Qinzi Zhang
Hoang Tran
Ashok Cutkosky
102
4
0
27 Jun 2024
How to Make the Gradients Small Privately: Improved Rates for
  Differentially Private Non-Convex Optimization
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization
Andrew Lowy
Jonathan R. Ullman
Stephen J. Wright
93
8
0
17 Feb 2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth
  Nonconvex Stochastic Optimization
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
Guy Kornowski
Ohad Shamir
91
19
0
10 Jul 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order
  Stationary Points and Excess Risks
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks
Arun Ganesh
Daogao Liu
Sewoong Oh
Abhradeep Thakurta
ODL
76
13
0
20 Feb 2023
Deterministic Nonsmooth Nonconvex Optimization
Deterministic Nonsmooth Nonconvex Optimization
Michael I. Jordan
Guy Kornowski
Tianyi Lin
Ohad Shamir
Manolis Zampetakis
130
26
0
16 Feb 2023
Optimal Stochastic Non-smooth Non-convex Optimization through
  Online-to-Non-convex Conversion
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
Ashok Cutkosky
Harsh Mehta
Francesco Orabona
87
34
0
07 Feb 2023
ReSQueing Parallel and Private Stochastic Convex Optimization
ReSQueing Parallel and Private Stochastic Convex Optimization
Y. Carmon
A. Jambulapati
Yujia Jin
Y. Lee
Daogao Liu
Aaron Sidford
Kevin Tian
FedML
74
14
0
01 Jan 2023
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth
  Nonconvex Optimization
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
Tianyi Lin
Zeyu Zheng
Michael I. Jordan
104
55
0
12 Sep 2022
Faster Rates of Convergence to Stationary Points in Differentially
  Private Optimization
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
R. Arora
Raef Bassily
Tomás González
Cristóbal Guzmán
Michael Menart
Enayat Ullah
57
32
0
02 Jun 2022
Private Convex Optimization via Exponential Mechanism
Private Convex Optimization via Exponential Mechanism
Sivakanth Gopi
Y. Lee
Daogao Liu
120
54
0
01 Mar 2022
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Vitaly Feldman
Tomer Koren
Kunal Talwar
71
211
0
10 May 2020
Lower Bounds for Non-Convex Stochastic Optimization
Lower Bounds for Non-Convex Stochastic Optimization
Yossi Arjevani
Y. Carmon
John C. Duchi
Dylan J. Foster
Nathan Srebro
Blake E. Woodworth
93
362
0
05 Dec 2019
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
188
1,940
0
07 Sep 2019
Private Stochastic Convex Optimization with Optimal Rates
Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily
Vitaly Feldman
Kunal Talwar
Abhradeep Thakurta
80
246
0
27 Aug 2019
A Short Note on Concentration Inequalities for Random Vectors with
  SubGaussian Norm
A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm
Chi Jin
Praneeth Netrapalli
Rong Ge
Sham Kakade
Michael I. Jordan
105
150
0
11 Feb 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path
  Integrated Differential Estimator
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Cong Fang
C. J. Li
Zhouchen Lin
Tong Zhang
95
580
0
04 Jul 2018
Differentially Private Empirical Risk Minimization Revisited: Faster and
  More General
Differentially Private Empirical Risk Minimization Revisited: Faster and More General
Di Wang
Minwei Ye
Jinhui Xu
119
272
0
14 Feb 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
433
2,946
0
15 Sep 2016
The Landscape of Empirical Risk for Non-convex Losses
The Landscape of Empirical Risk for Non-convex Losses
Song Mei
Yu Bai
Andrea Montanari
117
313
0
22 Jul 2016
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with
  Two-Point Feedback
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback
Ohad Shamir
62
262
0
31 Jul 2015
Optimal rates for zero-order convex optimization: the power of two
  function evaluations
Optimal rates for zero-order convex optimization: the power of two function evaluations
John C. Duchi
Michael I. Jordan
Martin J. Wainwright
Andre Wibisono
85
489
0
07 Dec 2013
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic
  Programming
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi
Guanghui Lan
ODL
122
1,562
0
22 Sep 2013
Randomized Smoothing for Stochastic Optimization
Randomized Smoothing for Stochastic Optimization
John C. Duchi
Peter L. Bartlett
Martin J. Wainwright
106
288
0
22 Mar 2011
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