Sotabase

Career

· Assistant Professor, Stanford University2022–
· Principal Researcher, Microsoft Research, New England2019–2022
· Postdoctoral Researcher, Microsoft Research, NYC2014–2016
· PhD in Computer Science, Cornell University2009–2014
· Diploma in Engineering, National Technical University of Athens, Greece2004–2009

Publications (331)

Training GANs with Optimism
International Conference on Learning Representations · 2017
558
cited
Fast Convergence of Regularized Learning in Games
Neural Information Processing Systems · 2015
291
cited
Composable and efficient mechanisms
Symposium on the Theory of Computing · 2012
228
cited
Orthogonal Statistical Learning
Annals of Statistics · 2019
210
cited
Bayesian Incentive-Compatible Bandit Exploration
ACM Conference on Economics and Computation · 2015
149
cited
Robust Optimization for Non-Convex Objectives
Neural Information Processing Systems · 2017
128
cited
Orthogonal Random Forest for Causal Inference
International Conference on Machine Learning · 2018
120
cited
The Price of Anarchy in Auctions
Journal of Artificial Intelligence Research · 2016
111
cited
Bayesian Exploration: Incentivizing Exploration in Bayesian Games
ACM Conference on Economics and Computation · 2016
110
cited
Minimax Estimation of Conditional Moment Models
Neural Information Processing Systems · 2020
110
cited
Sequential auctions and externalities
ACM-SIAM Symposium on Discrete Algorithms · 2011
108
cited
Econometrics for Learning Agents
ACM Conference on Economics and Computation · 2015
99
cited
Efficient Algorithms for Adversarial Contextual Learning
International Conference on Machine Learning · 2016
83
cited
Learning and Efficiency in Games with Dynamic Population
ACM-SIAM Symposium on Discrete Algorithms · 2015
79
cited
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
Neural Information Processing Systems · 2019
78
cited
Learning in Auctions: Regret is Hard, Envy is Easy
IEEE Annual Symposium on Foundations of Computer Science · 2015
74
cited
No-Regret Learning in Bayesian Games
Neural Information Processing Systems · 2015
70
cited
Accurate Inference for Adaptive Linear Models
International Conference on Machine Learning · 2017
68
cited
Genome-scale screens identify factors regulating tumor cell responses to natural killer cells
Nature Genetics · 2021
67
cited
Oracle-Efficient Online Learning and Auction Design
IEEE Annual Symposium on Foundations of Computer Science · 2016
67
cited
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