## Working Papers

**Combinatorial Assortment Optimization**

Nicole Immorlica, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis, Christos Tzamos

**Optimal Data Acquisition for Statistical Estimation**

Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani

**Learning to Bid Without Knowing your Value**

Zhe Feng, Chara Podimata, Vasilis Syrgkanis

**Orthogonal Machine Learning: Power and Limitations**

Lester Mackey, Vasilis Syrgkanis, Ilias Zadik

**Training GANs with Optimism**

Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng

**Inference on Auctions with Weak Assumptions on Information**

Vasilis Syrgkanis, Elie Tamer, Juba Ziani

**A Proof of Orthogonal Double Machine Learning with Z-Estimators**

Vasilis Syrgkanis

**Dynamic Information Acquisition from Multiple Sources**

Annie Liang, Xiaoseng Mu, Vasilis Syrgkanis

**Simple vs Optimal Mechanisms in Auctions with Convex Payments**

Amy Greenwald, Takehiro Oyakawa, Vasilis Syrgkanis

**Empirical Estimation of User Behavior in Sponsored Search**

Matt Goldman, Justin Rao, Vasilis Syrgkanis, working paper, 2015

**Pricing Queries Approximately Optimally**

Vasilis Syrgkanis, Johannes Gehrke

**Price of Stability in Games of Incomplete Information**

Vasilis Syrgkanis, under submission