Papers

@article{jagadeesan2023learning, title={Learning Equilibria in Matching Markets with Bandit Feedback}, author={Jagadeesan, Meena and Wei, Alexander and Wang, Yixin and Jordan, Michael I and Steinhardt, Jacob}, journal={Journal of the ACM}, volume={70}, number={3}, pages={1--46}, year={2023} }

@article{fair2022diplomacy, author = {Meta Fundamental AI Research Diplomacy Team (FAIR) and Anton Bakhtin and Noam Brown and Emily Dinan and Gabriele Farina and Colin Flaherty and Daniel Fried and Andrew Goff and Jonathan Gray and Hengyuan Hu and Athul Paul Jacob and Mojtaba Komeili and Karthik Konath and Minae Kwon and Adam Lerer and Mike Lewis and Alexander H. Miller and Sasha Mitts and Adithya Renduchintala and Stephen Roller and Dirk Rowe and Weiyan Shi and Joe Spisak and Alexander Wei and David Wu and Hugh Zhang and Markus Zijlstra}, title = {Human-level play in the game of \emph{Diplomacy} by combining language models with strategic reasoning}, journal = {Science}, volume = {378}, number = {6624}, pages = {1067--1074}, year = {2022}, }

@article{immorlica2022designing, author = {Immorlica, Nicole and Lucier, Brendan and Manshadi, Vahideh and Wei, Alexander}, title = {Designing Approximately Optimal Search on Matching Platforms}, journal = {Management Science}, volume = {69}, number = {8}, pages = {4609--4626}, year = {2022}, }

@article{wei2022optimal, title={Optimal {Las Vegas} Approximate Near Neighbors in $\ell_p$}, author={Wei, Alexander}, journal={ACM Transactions on Algorithms}, volume={18}, number={1}, pages={1--27}, year={2022} }

@inproceedings{halawi2024covert, title={Covert Malicious Finetuning: Challenges in Safeguarding {LLM} Adaptation}, author={Halawi, Danny and Wei, Alexander and Wallace, Eric and Wang, Tony Tong and Haghtalab, Nika and Steinhardt, Jacob}, booktitle={Proceedings of the 41st International Conference on Machine Learning}, pages={17298--17312}, year={2024}, }

@article{wei2024jailbroken, title={Jailbroken: How does {LLM} safety training fail?}, author={Wei, Alexander and Haghtalab, Nika and Steinhardt, Jacob}, journal={Advances in Neural Information Processing Systems}, volume={36}, year={2024} }

@article{yu2022tct, title={{TCT}: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels}, author={Yu, Yaodong and Wei, Alexander and Karimireddy, Sai Praneeth and Ma, Yi and Jordan, Michael}, journal={Advances in Neural Information Processing Systems}, volume={35}, pages={30882--30897}, year={2022} }

@inproceedings{wei2022more, title={More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize}, author={Wei, Alexander and Hu, Wei and Steinhardt, Jacob}, booktitle={Proceedings of the 39th International Conference on Machine Learning}, pages={23549--23588}, year={2022} }

@inproceedings{yu2022predicting, title={Predicting Out-of-Distribution Error with the Projection Norm}, author={Yu, Yaodong and Yang, Zitong and Wei, Alexander and Ma, Yi and Steinhardt, Jacob}, booktitle={Proceedings of the 39th International Conference on Machine Learning}, pages={25721--25746}, year={2022} }

@inproceedings{haghtalab2022learning, title={Learning in {Stackelberg} Games with Non-Myopic Agents}, author={Haghtalab, Nika and Lykouris, Thodoris and Nietert, Sloan and Wei, Alexander}, booktitle={Proceedings of the 23rd ACM Conference on Economics and Computation}, pages={917--918}, year={2022} }

@article{jagadeesan2021learning, title={Learning equilibria in matching markets from bandit feedback}, author={Jagadeesan, Meena and Wei, Alexander and Wang, Yixin and Jordan, Michael and Steinhardt, Jacob}, journal={Advances in Neural Information Processing Systems}, volume={34}, pages={3323--3335}, year={2021} }

@inproceedings{immorlica2021designing, title={Designing approximately optimal search on matching platforms}, author={Immorlica, Nicole and Lucier, Brendan and Manshadi, Vahideh and Wei, Alexander}, booktitle={Proceedings of the 22nd ACM Conference on Economics and Computation}, pages={632--633}, year={2021} }

@article{wei2020optimal, title={Optimal robustness-consistency trade-offs for learning-augmented online algorithms}, author={Wei, Alexander and Zhang, Fred}, journal={Advances in Neural Information Processing Systems}, volume={33}, pages={8042--8053}, year={2020} }

@inproceedings{wei2020better, title={Better and Simpler Learning-Augmented Online Caching}, author={Wei, Alexander}, booktitle={Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2020)}, pages={60:1--60:17}, year={2020} }

@inproceedings{lundy2019allocation, title={Allocation for social good: auditing mechanisms for utility maximization}, author={Lundy, Taylor and Wei, Alexander and Fu, Hu and Kominers, Scott Duke and Leyton-Brown, Kevin}, booktitle={Proceedings of the 2019 ACM Conference on Economics and Computation}, pages={785--803}, year={2019} }

@inproceedings{wei2019optimal, title={Optimal {Las Vegas} Approximate Near Neighbors in $\ell_p$}, author={Wei, Alexander}, booktitle={Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms}, pages={1794--1813}, year={2019} }

@inproceedings{jagadeesan2018varying, title={Varying the number of signals in matching markets}, author={Jagadeesan, Meena and Wei, Alexander}, booktitle={International Conference on Web and Internet Economics}, pages={232--245}, year={2018} }