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An Improved Cutting Plane Method for Convex Optimization, Convex-Concave
  Games and its Applications

An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications

8 April 2020
Haotian Jiang
Y. Lee
Zhao Song
Sam Chiu-wai Wong
ArXivPDFHTML

Papers citing "An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications"

22 / 22 papers shown
Title
The Structural Complexity of Matrix-Vector Multiplication
The Structural Complexity of Matrix-Vector Multiplication
Emile Anand
Jan van den Brand
Rose McCarty
39
2
0
28 Feb 2025
Comparisons Are All You Need for Optimizing Smooth Functions
Comparisons Are All You Need for Optimizing Smooth Functions
Chenyi Zhang
Tongyang Li
AAML
39
1
0
19 May 2024
Fast Heavy Inner Product Identification Between Weights and Inputs in
  Neural Network Training
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training
Lianke Qin
Saayan Mitra
Zhao Song
Yuanyuan Yang
Dinesh Manocha
37
0
0
19 Nov 2023
Fair Wasserstein Coresets
Fair Wasserstein Coresets
Zikai Xiong
Niccolò Dalmasso
Shubham Sharma
Freddy Lecue
Daniele Magazzeni
Vamsi K. Potluru
T. Balch
Manuela Veloso
39
2
0
09 Nov 2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron
  Identification
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification
Lianke Qin
Zhao Song
Yuanyuan Yang
30
9
0
13 Jul 2023
Memory-Query Tradeoffs for Randomized Convex Optimization
Memory-Query Tradeoffs for Randomized Convex Optimization
Xinyu Chen
Binghui Peng
41
6
0
21 Jun 2023
Fast Submodular Function Maximization
Fast Submodular Function Maximization
Lianke Qin
Zhao Song
Yitan Wang
34
10
0
15 May 2023
Fast and Efficient Matching Algorithm with Deadline Instances
Fast and Efficient Matching Algorithm with Deadline Instances
Zhao Song
Weixin Wang
Chenbo Yin
Junze Yin
24
7
0
15 May 2023
A General Algorithm for Solving Rank-one Matrix Sensing
A General Algorithm for Solving Rank-one Matrix Sensing
Lianke Qin
Zhao Song
Ruizhe Zhang
33
15
0
22 Mar 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
41
12
0
01 Jan 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth
  Channel and Vulnerability
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao Song
Yitan Wang
Zheng Yu
Licheng Zhang
FedML
28
28
0
15 Oct 2022
Dynamic Tensor Product Regression
Dynamic Tensor Product Regression
Aravind Reddy
Zhao Song
Licheng Zhang
50
22
0
08 Oct 2022
Efficient Convex Optimization Requires Superlinear Memory
Efficient Convex Optimization Requires Superlinear Memory
A. Marsden
Vatsal Sharan
Aaron Sidford
Gregory Valiant
34
14
0
29 Mar 2022
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic
  Time
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time
Zhao Song
Licheng Zhang
Ruizhe Zhang
37
64
0
14 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang
Yunze Man
Zhao Song
Zheng Yu
Danyang Zhuo
36
6
0
04 Dec 2021
Does Preprocessing Help Training Over-parameterized Neural Networks?
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao Song
Shuo Yang
Ruizhe Zhang
45
49
0
09 Oct 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree
Fast Sketching of Polynomial Kernels of Polynomial Degree
Zhao Song
David P. Woodruff
Zheng Yu
Lichen Zhang
26
40
0
21 Aug 2021
Stochastic Bias-Reduced Gradient Methods
Stochastic Bias-Reduced Gradient Methods
Hilal Asi
Y. Carmon
A. Jambulapati
Yujia Jin
Aaron Sidford
34
29
0
17 Jun 2021
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
Anshumali Shrivastava
Zhao Song
Zhaozhuo Xu
19
22
0
18 May 2021
Generalized Leverage Score Sampling for Neural Networks
Generalized Leverage Score Sampling for Neural Networks
Jason D. Lee
Ruoqi Shen
Zhao Song
Mengdi Wang
Zheng Yu
26
42
0
21 Sep 2020
Training (Overparametrized) Neural Networks in Near-Linear Time
Training (Overparametrized) Neural Networks in Near-Linear Time
Jan van den Brand
Binghui Peng
Zhao Song
Omri Weinstein
ODL
34
83
0
20 Jun 2020
Classification Under Misspecification: Halfspaces, Generalized Linear
  Models, and Connections to Evolvability
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability
Sitan Chen
Frederic Koehler
Ankur Moitra
Morris Yau
26
21
0
08 Jun 2020
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