Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Cho-Jui Hsieh

Cho-Jui Hsieh

Online Continuous Hyperparameter Optimization for Contextual Bandits

Feb 18, 2023
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee

Figure 1 for Online Continuous Hyperparameter Optimization for Contextual Bandits

Figure 2 for Online Continuous Hyperparameter Optimization for Contextual Bandits

Figure 3 for Online Continuous Hyperparameter Optimization for Contextual Bandits

Figure 4 for Online Continuous Hyperparameter Optimization for Contextual Bandits

* 26 pages in total: 10 pages main paper, 16 pages abstract. Under review of ICML 2023

Access Paper or Ask Questions

Symbolic Discovery of Optimization Algorithms

Feb 17, 2023
Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

Figure 1 for Symbolic Discovery of Optimization Algorithms

Figure 2 for Symbolic Discovery of Optimization Algorithms

Figure 3 for Symbolic Discovery of Optimization Algorithms

Figure 4 for Symbolic Discovery of Optimization Algorithms

* 29 pages, we clarified the recommended learning rate and added some references

Access Paper or Ask Questions

Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory

Nov 19, 2022
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh

Figure 1 for Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory

Figure 2 for Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory

Figure 3 for Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory

Figure 4 for Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory

* ICLR 2023 submission link: https://openreview.net/forum?id=dN70O8pmW8

Access Paper or Ask Questions

Are AlphaZero-like Agents Robust to Adversarial Perturbations?

Nov 07, 2022
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh

Figure 1 for Are AlphaZero-like Agents Robust to Adversarial Perturbations?

Figure 2 for Are AlphaZero-like Agents Robust to Adversarial Perturbations?

Figure 3 for Are AlphaZero-like Agents Robust to Adversarial Perturbations?

Figure 4 for Are AlphaZero-like Agents Robust to Adversarial Perturbations?

* Accepted by Neurips 2022

Access Paper or Ask Questions

Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning

Nov 04, 2022
Anaelia Ovalle, Evan Czyzycki, Cho-Jui Hsieh

Figure 1 for Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning

Figure 2 for Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning

* v1

Access Paper or Ask Questions

Uncertainty in Extreme Multi-label Classification

Oct 18, 2022
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhong, Cho-Jui Hsieh, Hsiang-Fu Yu

Figure 1 for Uncertainty in Extreme Multi-label Classification

Figure 2 for Uncertainty in Extreme Multi-label Classification

Figure 3 for Uncertainty in Extreme Multi-label Classification

Figure 4 for Uncertainty in Extreme Multi-label Classification

* 14 pages, 1 figure, 8 tables

Access Paper or Ask Questions

End-to-End Learning to Index and Search in Large Output Spaces

Oct 16, 2022
Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S Dhillon

Figure 1 for End-to-End Learning to Index and Search in Large Output Spaces

Figure 2 for End-to-End Learning to Index and Search in Large Output Spaces

Figure 3 for End-to-End Learning to Index and Search in Large Output Spaces

Figure 4 for End-to-End Learning to Index and Search in Large Output Spaces

* 21 pages, 9 figures, NeurIPS 2022 camera-ready publication

Access Paper or Ask Questions