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Private Zeroth-Order Nonsmooth Nonconvex Optimization

Private Zeroth-Order Nonsmooth Nonconvex Optimization

27 June 2024
Qinzi Zhang
Hoang Tran
Ashok Cutkosky
ArXivPDFHTML

Papers citing "Private Zeroth-Order Nonsmooth Nonconvex Optimization"

28 / 28 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
378
0
0
10 Oct 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Xinyu Tang
Ashwinee Panda
Milad Nasr
Saeed Mahloujifar
Prateek Mittal
159
23
0
09 Jan 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
78
19
0
10 Jul 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
72
34
0
07 Feb 2023
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic
  Optimization
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
Le‐Yu Chen
Jing Xu
Luo Luo
67
16
0
16 Jan 2023
Differentially Private Online-to-Batch for Smooth Losses
Differentially Private Online-to-Batch for Smooth Losses
Qinzi Zhang
Hoang Tran
Ashok Cutkosky
FedML
68
5
0
12 Oct 2022
Momentum Aggregation for Private Non-convex ERM
Momentum Aggregation for Private Non-convex ERM
Hoang Tran
Ashok Cutkosky
64
14
0
12 Oct 2022
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
93
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
55
31
0
02 Jun 2022
Differentially Private Stochastic Optimization: New Results in Convex
  and Non-Convex Settings
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Raef Bassily
Cristóbal Guzmán
Michael Menart
76
56
0
12 Jul 2021
Non-Euclidean Differentially Private Stochastic Convex Optimization:
  Optimal Rates in Linear Time
Non-Euclidean Differentially Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Raef Bassily
Cristóbal Guzmán
Anupama Nandi
100
68
0
01 Mar 2021
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and
  Tighter Generalization Bounds
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds
Yingxue Zhou
Xiangyi Chen
Mingyi Hong
Zhiwei Steven Wu
A. Banerjee
63
25
0
24 Jun 2020
Second-Order Information in Non-Convex Stochastic Optimization: Power
  and Limitations
Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations
Yossi Arjevani
Y. Carmon
John C. Duchi
Dylan J. Foster
Ayush Sekhari
Karthik Sridharan
117
53
0
24 Jun 2020
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Vitaly Feldman
Tomer Koren
Kunal Talwar
58
209
0
10 May 2020
Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions
Complexity of Finding Stationary Points of Nonsmooth Nonconvex Functions
J.N. Zhang
Hongzhou Lin
Stefanie Jegelka
Ali Jadbabaie
S. Sra
42
44
0
10 Feb 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
73
359
0
05 Dec 2019
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Lingxiao Wang
Bargav Jayaraman
David Evans
Quanquan Gu
33
28
0
30 Oct 2019
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
175
1,932
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
75
242
0
27 Aug 2019
Momentum-Based Variance Reduction in Non-Convex SGD
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky
Francesco Orabona
ODL
84
407
0
24 May 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
89
579
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
116
273
0
14 Feb 2018
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
59
261
0
31 Jul 2015
Private Empirical Risk Minimization Beyond the Worst Case: The Effect of
  the Constraint Set Geometry
Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry
Kunal Talwar
Abhradeep Thakurta
Li Zhang
73
56
0
20 Nov 2014
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
74
486
0
07 Dec 2013
Differentially Private Online Learning
Differentially Private Online Learning
Prateek Jain
Pravesh Kothari
Abhradeep Thakurta
48
44
0
01 Sep 2011
Randomized Smoothing for Stochastic Optimization
Randomized Smoothing for Stochastic Optimization
John C. Duchi
Peter L. Bartlett
Martin J. Wainwright
102
287
0
22 Mar 2011
Differentially Private Empirical Risk Minimization
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
134
1,487
0
01 Dec 2009
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