Vasilis Syrgkanis
41 papers · 2015–2025 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 18 separate collaboration groups - the largest holds only 37% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Vasilis Syrgkanis?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Greg Lewis, Whitney Newey, Akshay Krishnamurthy
15 papers
· 2015–2025
· NeurIPS, ICML, COLT
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Orthogonal Causal Calibration (Extended Abstract)
COLT 2025
Inference on Strongly Identified Functionals of Weakly Identified Functions
COLT 2023
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness
COLT 2023
Non-parametric Inference Adaptive to Intrinsic Dimension
CLeaR 2022
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
ICML 2022
Double/Debiased Machine Learning for Dynamic Treatment Effects
NeurIPS 2021
Estimating the Long-Term Effects of Novel Treatments
NeurIPS 2021
Minimax Estimation of Conditional Moment Models
NeurIPS 2020
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
NeurIPS 2019
Orthogonal Random Forest for Causal Inference
ICML 2019
Semi-Parametric Efficient Policy Learning with Continuous Actions
NeurIPS 2019
Semiparametric Contextual Bandits
ICML 2018
Efficient Algorithms for Adversarial Contextual Learning
ICML 2016
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
NeurIPS 2016
Fast Convergence of Regularized Learning in Games
NeurIPS 2015
10 papers whose co-authors appear nowhere else under this name
Adaptive Instrument Design for Indirect Experiments
ICLR 2024
Consistency of Neural Causal Partial Identification
NeurIPS 2024
Robust Generalized Method of Moments: A Finite Sample Viewpoint
NeurIPS 2022
Incentivizing Compliance with Algorithmic Instruments
ICML 2021
Estimation and Inference with Trees and Forests in High Dimensions
COLT 2020
Training GANs with Optimism
ICLR 2018
A Sample Complexity Measure with Applications to Learning Optimal Auctions
NeurIPS 2017
Robust Optimization for Non-Convex Objectives
NeurIPS 2017
Welfare Guarantees from Data
NeurIPS 2017
No-Regret Learning in Bayesian Games
NeurIPS 2015