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ORCIDAlexander Wei 0001
Person information
- affiliation: UC Berkeley, Berkeley, CA, USA
Other persons with the same name
- Alexander Wei 0002
![[0000-0002-8587-1037]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8587-1037")
— Purdue University, West Lafayette, IN, USA
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Books and Theses
- 2023
[b1]Alexander Wei:
Learning and Decision-Making in Complex Environments. University of California, Berkeley, USA, 2023
Journal Articles
- 2023
- [j3]Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt:
Learning Equilibria in Matching Markets with Bandit Feedback. J. ACM 70(3): 19:1-19:46 (2023) - [j2]Nicole Immorlica, Brendan Lucier, Vahideh H. Manshadi, Alexander Wei:
Designing Approximately Optimal Search on Matching Platforms. Manag. Sci. 69(8): 4609-4626 (2023) - 2022
- [j1]Alexander Wei:
Optimal Las Vegas Approximate Near Neighbors in ℓp. ACM Trans. Algorithms 18(1): 7:1-7:27 (2022)
Conference and Workshop Papers
- 2024
- [c13]Danny Halawi, Alexander Wei, Eric Wallace, Tony Tong Wang, Nika Haghtalab, Jacob Steinhardt:
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation. ICML 2024 - 2023
- [c12]Alexander Wei, Nika Haghtalab, Jacob Steinhardt:
Jailbroken: How Does LLM Safety Training Fail? NeurIPS 2023 - 2022
- [c11]Alexander Wei, Wei Hu, Jacob Steinhardt:
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize. ICML 2022: 23549-23588 - [c10]Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt:
Predicting Out-of-Distribution Error with the Projection Norm. ICML 2022: 25721-25746 - [c9]Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan:
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels. NeurIPS 2022 - [c8]Nika Haghtalab, Thodoris Lykouris, Sloan Nietert, Alexander Wei:
Learning in Stackelberg Games with Non-myopic Agents. EC 2022: 917-918 - 2021
- [c7]Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt:
Learning Equilibria in Matching Markets from Bandit Feedback. NeurIPS 2021: 3323-3335 - [c6]Nicole Immorlica, Brendan Lucier, Vahideh H. Manshadi, Alexander Wei:
Designing Approximately Optimal Search on Matching Platforms. EC 2021: 632-633 - 2020
- [c5]Alexander Wei:
Better and Simpler Learning-Augmented Online Caching. APPROX-RANDOM 2020: 60:1-60:17 - [c4]Alexander Wei, Fred Zhang:
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms. NeurIPS 2020 - 2019
- [c3]Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers, Kevin Leyton-Brown:
Allocation for Social Good: Auditing Mechanisms for Utility Maximization. EC 2019: 785-803 - [c2]Alexander Wei:
Optimal Las Vegas Approximate Near Neighbors in ℓp. SODA 2019: 1794-1813 - 2018
- [c1]Meena Jagadeesan, Alexander Wei:
Varying the Number of Signals in Matching Markets. WINE 2018: 232-245
Informal and Other Publications
- 2024
- [i10]Danny Halawi, Alexander Wei, Eric Wallace, Tony T. Wang, Nika Haghtalab, Jacob Steinhardt:
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation. CoRR abs/2406.20053 (2024) - 2023
- [i9]Alexander Wei, Nika Haghtalab, Jacob Steinhardt:
Jailbroken: How Does LLM Safety Training Fail? CoRR abs/2307.02483 (2023) - 2022
- [i8]Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt:
Predicting Out-of-Distribution Error with the Projection Norm. CoRR abs/2202.05834 (2022) - [i7]Alexander Wei, Wei Hu, Jacob Steinhardt:
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize. CoRR abs/2203.06176 (2022) - [i6]Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan:
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels. CoRR abs/2207.06343 (2022) - 2021
- [i5]Nicole Immorlica, Brendan Lucier, Vahideh H. Manshadi, Alexander Wei:
Designing Approximately Optimal Search on Matching Platforms. CoRR abs/2102.09017 (2021) - [i4]Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt:
Learning Equilibria in Matching Markets from Bandit Feedback. CoRR abs/2108.08843 (2021) - 2020
- [i3]Alexander Wei:
Better and Simpler Learning-Augmented Online Caching. CoRR abs/2005.13716 (2020) - [i2]Alexander Wei, Fred Zhang:
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms. CoRR abs/2010.11443 (2020) - 2018
- [i1]Alexander Wei:
Optimal Las Vegas Approximate Near Neighbors in 𝓁p. CoRR abs/1807.07527 (2018)
Coauthor Index
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