Alexander Wei

According to our database, Alexander Wei authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation.

Danny Halawi, Alexander Wei, Eric Wallace, Tony Tong Wang, Nika Haghtalab, Jacob Steinhardt

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Designing Approximately Optimal Search on Matching Platforms.

Nicole Immorlica, Brendan Lucier, Vahideh H. Manshadi, Alexander Wei

Manag. Sci., August, 2023

Learning Equilibria in Matching Markets with Bandit Feedback.

Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt

J. ACM, June, 2023

Learning and Decision-Making in Complex Environments

Alexander Wei

PhD thesis, 2023

Jailbroken: How Does LLM Safety Training Fail?

Alexander Wei, Nika Haghtalab, Jacob Steinhardt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Optimal Las Vegas Approximate Near Neighbors in <i>ℓ_p</i>.

Alexander Wei

ACM Trans. Algorithms, 2022

Learning in Stackelberg Games with Non-myopic Agents.

Nika Haghtalab, Thodoris Lykouris, Sloan Nietert, Alexander Wei

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels.

Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predicting Out-of-Distribution Error with the Projection Norm.

Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt

Proceedings of the International Conference on Machine Learning, 2022

More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize.

Alexander Wei, Wei Hu, Jacob Steinhardt

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning Equilibria in Matching Markets from Bandit Feedback.

Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms.

Alexander Wei, Fred Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Better and Simpler Learning-Augmented Online Caching.

Alexander Wei

Proceedings of the Approximation, 2020

2019

Optimal Las Vegas Approximate Near Neighbors in ℓp.

Alexander Wei

Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Allocation for Social Good: Auditing Mechanisms for Utility Maximization.

Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers, Kevin Leyton-Brown

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

2018

Optimal Las Vegas Approximate Near Neighbors in 𝓁_p.

Alexander Wei

CoRR, 2018

Varying the Number of Signals in Matching Markets.

Meena Jagadeesan, Alexander Wei

Proceedings of the Web and Internet Economics - 14th International Conference, 2018