Group Meeting Schedule - Summer 2024, Thursdays: 12:30-2:00 pm

June, 27 Suho Shin Delegated choice, prophet inequality, and beyond.
June, 20 Yuwei Cheng O(1/T) Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games.
June, 13 Jibang Wu Contractual Reinforcement Learning: pulling arms with invisible hands.

Group Meeting Schedule - Spring 2024, Thursdays: 12:30-2:30 pm

May, 23 Yuwei Cheng Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling.
May, 16 Alec Sun Cheap talk with transparent motives.
May, 9 Yue Lin Information Design in Multi-Agent Reinforcement Learning. Yue Lin, Wenhao Li, Hongyuan Zha, and Baoxiang Wang. NeurIPS 2023.
May, 2 Minbiao Han Towards an Algorithmic Theory of Principal-Agency.
April, 25 Kaiyu Yang Towards an AI Mathematician.
April, 11 Shiliang Zuo New Perspectives in Online Contract Design: Heterogeneous, Homogeneous, Non-myopic Agents and Team Production. Shiliang Zuo. arXiv preprint, 2024.
April, 4 Derek Zhu Deriving Black Scholes From Mathematical Basics.
March, 27 Yifan Guo A Truth Serum for Eliciting Self-Evaluations in Scientific Reviews. Jibang Wu, Haifeng Xu, Yifan Guo, Weijie Su. arXiv preprint, 2023.

Group Meeting Schedule - Winter 2024, Tuesday: 12:00-2:00 pm

March, 5 Yiding Feng Strategic Budget Selection in a Competitive Autobidding World. Yiding Feng, Brendan Lucier, and Aleksandrs Slivkins. arXiv preprint, 2023.
February, 13 Fan Yao Strategic Content Creation and Incentive Design.
February, 6 Seyed Esmaeili Generative Social Choice. Sara Fish, Paul Golz, David C. Parkes, Ariel D. Procaccia, Gili Rusak, Itai Shapira, Manuel Wuthrich. arXiv preprint, 2023.
January, 30 Alec Sun Program Equilibrium.
January, 16 Liren Shan Error-Tolerant E-Discovery Protocol. Liren Shan, Jinshuo Dong, Jason Hartline, and Aravindan Vijayaraghavan.
January, 9 Minbiao Han Learning in Online Principal-Agent Interactions: The Power of Menus. Minbiao Han, Michael Albert, and Haifeng Xu. AAAI 2024.

Group Meeting Schedule - Fall 2023, Wed: 12:30-2:00 pm

October, 11 Alec Sun Random sampling auctions for digital goods
October, 4 Yuwei Cheng Lower Bound Proofs for Various Online Learning Problems (Part I)
September, 27 Sigma Lab Self-introductions
September, 20 Jibang Wu Robust Stackelberg Equilibria. Jiarui Gan, Minbiao Han, Jibang Wu, and Haifeng Xu. EC 2023.

Group Meeting Schedule - Fall 2020, Tue: 1-2 pm

December, 15 Fan Yao Online Convex Optimization
December, 8 Chenghan Zhou How bad is selfish routing? Roughgarden, Tim, and Éva Tardos. Journal of the ACM (JACM) 49.2 (2002): 236-259.
December, 1 Jibang Wu Auctions with interdependent valuation
November, 17 Shuze Liu Optimal auction design. Myerson, Roger B. Mathematics of operations research 6, no. 1 (1981): 58-73.
November, 10 Minbiao Han Optimally Deceiving a Learning Leader in Stackelberg Games. Birmpas, Georgios, Jiarui Gan, Alexandros Hollender, Francisco J. Marmolejo-Cossío, Ninad Rajgopal, and Alexandros A. Voudouris. arXiv preprint arXiv:2006.06566 (2020).

Manipulating a learning defender and ways to counteract. Gan, Jiarui, Qingyu Guo, Long Tran-Thanh, Bo An, and Michael Wooldridge. NeurIPS 2019.
November, 3 Quinn Dawkins Learning Economic Parameters from Revealed Preferences. Balcan, Maria-Florina, Amit Daniely, Ruta Mehta, Ruth Urner, and Vijay V. Vazirani. WINE 2014.
October, 27 Jibang Wu, Fan Yao, Shuze Liu Multiagent RL
October, 20 Chenghan Zhou Signaling for Spatial Resource Allocation
October, 13 Shuze Liu Selling Information
October, 6 Minbiao Han Pricing Against Strategic Buyers
September, 29 Fan Yao Strategic Classification
September, 22 Jibang Wu Ad Auctions with Signaling

Group Meeting Schedule - Spring 2020

June, 18 Minbiao Han Be Careful when Learning to Price: A Theory of Learning from Strategically Revealed Preferences.
June, 4 Teng Li Suphx: Mastering Mahjong with Deep Reinforcement Learning. Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon. arXiv preprint arXiv:2003.13590, 2020.
May, 21 Minbiao Han The Price of Prior Dependence in Auctions. Pingzhong Tang, Yulong Zeng. EC 2018.
Apr, 29 Jibang Wu Five Miracles of Mirror Descent. Sebastien Bubeck.
Apr, 16 Minbiao Han Strategizing against No-regret Learners. Yuan Deng, Jon Schneider, Balasubramanian Sivan. NeurIPS 2019.
Mar, 30 Jibang Wu Multiplayer Bandit Learning, from Competition to Cooperation. Simina Brânzei, Yuval Peres. arXiv preprint arXiv:1908.01135, 2019.
Feb, 27 Minbiao Han Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer. Arsenii Vanunts, Alexey Drutsa. NeurIPS 2019.