Samuel Deng

19 papers A* 6A 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A One-Inclusion Graph Approach to Multi-Group Learning.
CoRR
Noah Bergam, Samuel Deng, Daniel Hsu
2026 J jnl
Group-realizable multi-group learning by minimizing empirical risk.
CoRR
Navid Ardeshir, Samuel Deng, Daniel Hsu, Jingwen Liu
2025 — conf
Mathematics for Machine Learning: A Bridge Course.
SIGCSE (2)
Samuel Deng
2024 A* conf
Group-wise oracle-efficient algorithms for online multi-group learning.
NeurIPS
Samuel Deng, Jingwen Liu, Daniel J. Hsu
2024 J jnl
Group-wise oracle-efficient algorithms for online multi-group learning.
CoRR
Samuel Deng, Daniel Hsu, Jingwen Liu
2024 A* conf
Multi-group Learning for Hierarchical Groups.
ICML
Samuel Deng, Daniel Hsu
2024 J jnl
Multi-group Learning for Hierarchical Groups.
CoRR
Samuel Deng, Daniel Hsu
2023 — conf
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.
Robotics: Science and Systems
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
2023 J jnl
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.
CoRR
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
2022 A conf
Learning Tensor Representations for Meta-Learning.
AISTATS
Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal
2022 J jnl
Learning Tensor Representations for Meta-Learning.
CoRR
Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal
2021 A* conf
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks.
NeurIPS
Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Guha Thakurta
2021 A* conf
Is Private Learning Possible with Instance Encoding?
SP
Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Thakurta, Florian Tramèr
2020 J jnl
An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?
CoRR
Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramèr
2020 A* conf
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics.
EC
Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau
2020 J jnl
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics.
CoRR
Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau
2020 A* conf
Ensuring Fairness Beyond the Training Data.
NeurIPS
Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel J. Hsu
2020 J jnl
Ensuring Fairness Beyond the Training Data.
CoRR
Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel Hsu
2019 J jnl
Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science.
CoRR
Samuel Deng, Achille C. Varzi