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2020 – today
- 2024
[c7]Samuel Deng, Daniel Hsu:
Multi-group Learning for Hierarchical Groups. ICML 2024- [i8]Samuel Deng, Daniel Hsu:
Multi-group Learning for Hierarchical Groups. CoRR abs/2402.00258 (2024) - [i7]Samuel Deng, Daniel Hsu, Jingwen Liu:
Group-wise oracle-efficient algorithms for online multi-group learning. CoRR abs/2406.05287 (2024) - 2023
- [c6]Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. Robotics: Science and Systems 2023 - [i6]Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. CoRR abs/2303.15771 (2023) - 2022
- [c5]Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal:
Learning Tensor Representations for Meta-Learning. AISTATS 2022: 11550-11580 - [i5]Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal:
Learning Tensor Representations for Meta-Learning. CoRR abs/2201.07348 (2022) - 2021
- [c4]Samuel Deng, Sanjam Garg
, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Guha Thakurta:
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks. NeurIPS 2021: 10862-10875 - [c3]Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Thakurta, Florian Tramèr:
Is Private Learning Possible with Instance Encoding? SP 2021: 410-427 - 2020
- [c2]Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel J. Hsu:
Ensuring Fairness Beyond the Training Data. NeurIPS 2020 - [c1]Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau:
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics. EC 2020: 679-681 - [i4]Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel Hsu:
Ensuring Fairness Beyond the Training Data. CoRR abs/2007.06029 (2020) - [i3]Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramèr:
An Attack on InstaHide: Is Private Learning Possible with Instance Encoding? CoRR abs/2011.05315 (2020) - [i2]Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau:
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics. CoRR abs/2012.02394 (2020)
2010 – 2019
- 2019
- [i1]Samuel Deng, Achille C. Varzi:
Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science. CoRR abs/1910.14210 (2019)
Coauthor Index
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