## Working Papers

**Low-rank Bandit Methods for High-dimensional Dynamic Pricing**

Jonas Mueller, Vasilis Syrgkanis, Matt Taddy

**A Multifactorial Model of T Cell Expansion and Durable Clinical Benefit in Response to a PD-L1 Inhibitor**

Mark DM Leiserson, Vasilis Syrgkanis, Amy Gilson, Miroslav Dudik, Samuel Funt, Alexandra Snyder, Lester Mackey

**Accurate Inference for Adaptive Linear Models**

Yash Deshpande, Lester Mackey, Vasilis Syrgkanis, Matt Taddy

**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

**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

**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