Vasilis Syrgkanis

Stanford University — United States

Decision Sciences · Social Sciences

25h-index1.9kcitations136works0.52yr avg
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Research Topics

Auction Theory and Applications(84), Advanced Bandit Algorithms Research(44), Consumer Market Behavior and Pricing(37), Experimental Behavioral Economics Studies(30), Game Theory and Applications(29)

Publications136 total

Adversarial Estimation of Riesz Representers
Journal of the American Statistical Association·2025· 3 citedOpen Access
Direct Preference Optimization with Unobserved Preference Heterogeneity: The Necessity of Ternary Preferences
arXiv (Cornell University)·2025Open Access
Predicting Long Term Sequential Policy Value Using Softer Surrogates
arXiv (Cornell University)·2024Open Access
Conditional Influence Functions
arXiv (Cornell University)·2024Open Access
Personalized Adaptation via In-Context Preference Learning
arXiv (Cornell University)·2024Open Access
Direct Preference Optimization With Unobserved Preference Heterogeneity: The Necessity of Ternary Preferences
arXiv (Cornell University)·2024Open Access
Taking a Moment for Distributional Robustness
arXiv (Cornell University)·2024Open Access
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
arXiv (Cornell University)·2024Open Access
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
arXiv (Cornell University)·2024· 1 citedOpen Access
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
2024
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
2024· 2 cited
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
arXiv (Cornell University)·2023Open Access
Adaptive Instrument Design for Indirect Experiments
arXiv (Cornell University)·2023Open Access
Source Condition Double Robust Inference on Functionals of Inverse Problems
arXiv (Cornell University)·2023Open Access
Orthogonal statistical learning
The Annals of Statistics·2023· 55 citedOpen Access
Multi-Item Nontruthful Auctions Achieve Good Revenue
SIAM Journal on Computing·2022· 3 cited
Learning in auctions: Regret is hard, envy is easy
Games and Economic Behavior·2022· 13 citedOpen Access
Dynamically Aggregating Diverse Information
Econometrica·2022· 14 citedOpen Access
Long Story Short: Omitted Variable Bias in Causal Machine Learning
SSRN Electronic Journal·2022· 4 citedOpen Access
Bayesian Exploration: Incentivizing Exploration in Bayesian Games
Operations Research·2021· 38 cited
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Frequent Co-authors

Éva Tardos(12), Brendan Lucier(6), Zhiwei Steven Wu(5), Yishay Mansour(4), Aleksandrs Slivkins(4), Robert E. Schapire(4), Denis Nekipelov(4), Nicole Immorlica(4), Constantinos Daskalakis(3), Haipeng Luo(3), Renato Paes Leme(3), Michal Feldman(3), Akshay Krishnamurthy(3), Alekh Agarwal(2), Tim Roughgarden(2), Juba Ziani(2), Victor Chernozhukov(2), David Kempe(2), Yoram Bachrach(2), Milan Vojnović(2)