Varying the Number of Signals in Matching Markets. - Meena Jagadeesan; Alexander Wei 001 (WINE, 2018)

Optimal Las Vegas Approximate Near Neighbors in 𝓁p. - Alexander Wei 001 (CoRR, 2018)

Allocation for Social Good: Auditing Mechanisms for Utility Maximization. - Taylor Lundy; Alexander Wei 001; Hu Fu 001; Scott Duke Kominers; Kevin Leyton-Brown (EC, 2019)

Optimal Las Vegas Approximate Near Neighbors in ℓp. - Alexander Wei 001 (SODA, 2019)

Better and Simpler Learning-Augmented Online Caching. - Alexander Wei 001 (APPROX-RANDOM, 2020)

Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms. - Alexander Wei 001; Fred Zhang (NeurIPS, 2020)

Learning Equilibria in Matching Markets from Bandit Feedback. - Meena Jagadeesan; Alexander Wei 001; Yixin Wang 002; Michael I. Jordan; Jacob Steinhardt (NeurIPS, 2021)

More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize. - Alexander Wei 001; Wei Hu; Jacob Steinhardt (ICML, 2022)

Predicting Out-of-Distribution Error with the Projection Norm. - Yaodong Yu; Zitong Yang; Alexander Wei 001; Yi Ma 001; Jacob Steinhardt (ICML, 2022)

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels. - Yaodong Yu; Alexander Wei 001; Sai Praneeth Karimireddy; Yi Ma 001; Michael I. Jordan (NeurIPS, 2022)

Learning in Stackelberg Games with Non-myopic Agents. - Nika Haghtalab; Thodoris Lykouris; Sloan Nietert; Alexander Wei 001 (EC, 2022)

Optimal Las Vegas Approximate Near Neighbors in ℓp. - Alexander Wei 001 (ACM Trans. Algorithms, 2022)

Jailbroken: How Does LLM Safety Training Fail? - Alexander Wei 001; Nika Haghtalab; Jacob Steinhardt (NeurIPS, 2023)

Learning and Decision-Making in Complex Environments - Alexander Wei 001 (2023)

Learning Equilibria in Matching Markets with Bandit Feedback. - Meena Jagadeesan; Alexander Wei 001; Yixin Wang 002; Michael I. Jordan; Jacob Steinhardt (J. ACM, 2023)

Designing Approximately Optimal Search on Matching Platforms. - Nicole Immorlica; Brendan Lucier; Vahideh H. Manshadi; Alexander Wei 001 (Manag. Sci., 2023)

Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation. - Danny Halawi; Alexander Wei 001; Eric Wallace; Tony Tong Wang; Nika Haghtalab; Jacob Steinhardt (ICML, 2024)