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Stochastic Zeroth-order Optimization in High Dimensions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
29 October 2017
Yining Wang
S. Du
Sivaraman Balakrishnan
Aarti Singh
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Papers citing
"Stochastic Zeroth-order Optimization in High Dimensions"
19 / 69 papers shown
The Influence of Shape Constraints on the Thresholding Bandit Problem
J. Cheshire
Pierre Menard
Alexandra Carpentier
275
12
0
17 Jun 2020
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits
Neural Information Processing Systems (NeurIPS), 2020
A. Akhavan
Massimiliano Pontil
Alexandre B. Tsybakov
276
48
0
14 Jun 2020
Zeroth-Order Supervised Policy Improvement
Hao Sun
Ziping Xu
Yuhang Song
Meng Fang
Jiechao Xiong
Bo Dai
Bolei Zhou
OffRL
211
10
0
11 Jun 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
Sijia Liu
Pin-Yu Chen
B. Kailkhura
Gaoyuan Zhang
A. Hero III
P. Varshney
319
294
0
11 Jun 2020
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2020
Mayumi Ohta
Nathaniel Berger
Artem Sokolov
Stefan Riezler
ODL
127
10
0
02 Jun 2020
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
Lu Wang
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
Yuan Jiang
AAML
245
11
0
11 May 2020
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
SIAM Journal on Optimization (SIOPT), 2020
HanQin Cai
Daniel McKenzie
W. Yin
Zhenliang Zhang
777
59
0
29 Mar 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
AAAI Conference on Artificial Intelligence (AAAI), 2020
Pu Zhao
Pin-Yu Chen
Siyue Wang
Xinyu Lin
AAML
175
41
0
18 Feb 2020
A Survey of Black-Box Adversarial Attacks on Computer Vision Models
Siddhant Bhambri
Sumanyu Muku
Avinash Tulasi
Arun Balaji Buduru
AAML
VLM
255
89
0
03 Dec 2019
Efficiently avoiding saddle points with zero order methods: No gradients required
Neural Information Processing Systems (NeurIPS), 2019
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
147
35
0
29 Oct 2019
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
International Conference on Machine Learning (ICML), 2019
Kaiyi Ji
Zhe Wang
Yi Zhou
Yingbin Liang
167
90
0
27 Oct 2019
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization
Abhishek Roy
Krishnakumar Balasubramanian
Saeed Ghadimi
P. Mohapatra
OffRL
202
16
0
31 Jul 2019
Black Box Submodular Maximization: Discrete and Continuous Settings
Lin Chen
Mingrui Zhang
Hamed Hassani
Amin Karbasi
166
17
0
28 Jan 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
Dhruv Malik
A. Pananjady
Kush S. Bhatia
K. Khamaru
Peter L. Bartlett
Martin J. Wainwright
267
218
0
20 Dec 2018
Towards Gradient Free and Projection Free Stochastic Optimization
Anit Kumar Sahu
Manzil Zaheer
S. Kar
215
45
0
08 Oct 2018
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points
Krishnakumar Balasubramanian
Saeed Ghadimi
ODL
227
109
0
17 Sep 2018
Stochastic Zeroth-order Optimization via Variance Reduction method
Liu Liu
Minhao Cheng
Cho-Jui Hsieh
Dacheng Tao
272
23
0
30 May 2018
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
Chun-Chen Tu
Pai-Shun Ting
Pin-Yu Chen
Sijia Liu
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
Shin-Ming Cheng
MLAU
AAML
333
432
0
30 May 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Sijia Liu
B. Kailkhura
Pin-Yu Chen
Pai-Shun Ting
Shiyu Chang
Lisa Amini
313
215
0
25 May 2018
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