Vasilis Syrgkanis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
14
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLT | Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation (Extended Abstract). | Jikai Jin, Vasilis Syrgkanis |
| 2025 | COLT | Orthogonal Causal Calibration (Extended Abstract). | Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu |
| 2025 | ICML | A Meta-learner for Heterogeneous Effects in Difference-in-Differences. | Hui Lan, Haoge Chang, Eleanor Wiske Dillon, Vasilis Syrgkanis |
| 2024 | AISTATS | Causal Q-Aggregation for CATE Model Selection. | Hui Lan, Vasilis Syrgkanis |
| 2024 | ICLR | Adaptive Instrument Design for Indirect Experiments. | Yash Chandak, Shiv Shankar, Vasilis Syrgkanis, Emma Brunskill |
| 2024 | ICLR | Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation. | Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis |
| 2023 | COLT | Inference on Strongly Identified Functionals of Weakly Identified Functions. | Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara |
| 2023 | COLT | Minimax Instrumental Variable Regression and L | Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara |
| 2022 | ICML | RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests. | Victor Chernozhukov, Whitney Newey, Victor Quintas-Martinez, Vasilis Syrgkanis |
| 2021 | ICLR | Knowledge Distillation as Semiparametric Inference. | Tri Dao, Govinda M. Kamath, Vasilis Syrgkanis, Lester Mackey |
| 2021 | ICML | Incentivizing Compliance with Algorithmic Instruments. | Dung Daniel T. Ngo, Logan Stapleton, Vasilis Syrgkanis, Steven Wu |
| 2021 | KDD | Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. | Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee |
| 2021 | WWW | Bid Prediction in Repeated Auctions with Learning. | Gali Noti, Vasilis Syrgkanis |
| 2020 | COLT | Estimation and Inference with Trees and Forests in High Dimensions. | Vasilis Syrgkanis, Manolis Zampetakis |
| 2020 | IJCAI | Statistical Learning with a Nuisance Component (Extended Abstract). | Dylan J. Foster, Vasilis Syrgkanis |
| 2019 | COLT | Statistical Learning with a Nuisance Component. | Dylan J. Foster, Vasilis Syrgkanis |
| 2019 | ICML | Orthogonal Random Forest for Causal Inference. | Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu |
| 2018 | ICLR | Training GANs with Optimism. | Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng |
| 2018 | ICML | Accurate Inference for Adaptive Linear Models. | Yash Deshpande, Lester W. Mackey, Vasilis Syrgkanis, Matt Taddy |
| 2018 | ICML | Semiparametric Contextual Bandits. | Akshay Krishnamurthy, Zhiwei Steven Wu, Vasilis Syrgkanis |
| 2018 | ICML | Orthogonal Machine Learning: Power and Limitations. | Ilias Zadik, Lester W. Mackey, Vasilis Syrgkanis |
| 2018 | WWW | Simple vs Optimal Contests with Convex Costs. | Amy Greenwald, Takehiro Oyakawa, Vasilis Syrgkanis |
| 2018 | SODA | Truthful Multi-Parameter Auctions with Online Supply: an Impossible Combination. | Nikhil R. Devanur, Balasubramanian Sivan, Vasilis Syrgkanis |
| 2018 | SAGT | On Revenue-Maximizing Mechanisms Assuming Convex Costs. | Amy Greenwald, Takehiro Oyakawa, Vasilis Syrgkanis |
| 2017 | FOCS | Oracle-Efficient Online Learning and Auction Design. | Miroslav Dudk, Nika Haghtalab, Haipeng Luo, Robert E. Schapire, Vasilis Syrgkanis, Jennifer Wortman Vaughan |
| 2017 | STOC | Fast convergence of learning in games (invited talk). | Vasilis Syrgkanis |
| 2016 | FOCS | Learning in Auctions: Regret is Hard, Envy is Easy. | Constantinos Daskalakis, Vasilis Syrgkanis |
| 2016 | ICML | Efficient Algorithms for Adversarial Contextual Learning. | Vasilis Syrgkanis, Akshay Krishnamurthy, Robert E. Schapire |
| 2016 | SODA | Learning and Efficiency in Games with Dynamic Population. | Thodoris Lykouris, Vasilis Syrgkanis, va Tardos |
| 2016 | STOC | The price of anarchy in large games. | Michal Feldman, Nicole Immorlica, Brendan Lucier, Tim Roughgarden, Vasilis Syrgkanis |
| 2016 | UAI | Bounded Rationality in Wagering Mechanisms. | David M. Pennock, Vasilis Syrgkanis, Jennifer Wortman Vaughan |
| 2015 | AAAI | A Unifying Hierarchy of Valuations with Complements and Substitutes. | Uriel Feige, Michal Feldman, Nicole Immorlica, Rani Izsak, Brendan Lucier, Vasilis Syrgkanis |
| 2015 | WWW | Social Status and Badge Design. | Nicole Immorlica, Gregory Stoddard, Vasilis Syrgkanis |
| 2014 | SAGT | Strong Price of Anarchy, Utility Games and Coalitional Dynamics. | Yoram Bachrach, Vasilis Syrgkanis, va Tardos, Milan Vojnovic |
| 2013 | CIAC | Selfish Resource Allocation in Optical Networks. | Evangelos Bampas, Aris Pagourtzis, George Pierrakos, Vasilis Syrgkanis |
| 2013 | STOC | Composable and efficient mechanisms. | Vasilis Syrgkanis, va Tardos |
| 2012 | SODA | Sequential auctions and externalities. | Renato Paes Leme, Vasilis Syrgkanis, va Tardos |