Zeroth-order stochastic variance reduction for nonconvex optimization
- Sijia Liu
- Bhavya Kailkhura
- et al.
- 2018
- NeurIPS 2018
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7 results for Bhavya Kailkhura
Treeview and Disentangled Representations for Explaining Deep Neural Networks Decisions
- Prasanna Sattigeri
- Karthikeyan Natesan Ramamurthy
- et al.
- 2020
- ACSSC 2020
Towards an efficient and general framework of robust training for graph neural networks
- Kaidi Xu
- Sijia Liu
- et al.
- 2020
- ICASSP 2020
On the design of black-box adversarial examples by leveraging gradient-free optimization and operator splitting method
- Pu Zhao
- Sijia Liu
- et al.
- 2019
- ICCV 2019
Human-machine inference networks for smart decision making: Opportunities and challenges
- Aditya Vempaty
- Bhavya Kailkhura
- et al.
- 2018
- ICASSP 2018
Robust Local Scaling Using Conditional Quantiles of Graph Similarities
- Jayaraman J. Thiagarajan
- Prasanna Sattigeri
- et al.
- 2016
- ICDMW 2016
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2020
- IEEE SPM