Sotabase

Career

· Director, Max Planck Institute for Intelligent Systems2026–
· Associate Professor (formerly), University of California, Berkeley (EECS Department)2025–
· Research Scientist, Google Research and Google Brain2011–
· Postdoctoral Scholar and Research Staff Member, IBM Research Almaden2011–

Publications (131)

Understanding deep learning requires rethinking generalization
International Conference on Learning Representations · 2016
4,943
cited
Equality of Opportunity in Supervised Learning
Neural Information Processing Systems · 2016
4,868
cited
Fairness through awareness
Information Technology Convergence and Services · 2011
4,264
cited
Understanding deep learning (still) requires rethinking generalization
Communications of the ACM · 2021
2,559
cited
Sanity Checks for Saliency Maps
Neural Information Processing Systems · 2018
2,245
cited
Train faster, generalize better: Stability of stochastic gradient descent
International Conference on Machine Learning · 2015
1,355
cited
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
International Conference on Machine Learning · 2019
1,099
cited
Avoiding Discrimination through Causal Reasoning
Neural Information Processing Systems · 2017
625
cited
Retiring Adult: New Datasets for Fair Machine Learning
Neural Information Processing Systems · 2021
553
cited
A Simple and Practical Algorithm for Differentially Private Data Release
Neural Information Processing Systems · 2010
535
cited
Fairness and Machine Learning Limitations and Opportunities
2018
534
cited
Delayed Impact of Fair Machine Learning
International Conference on Machine Learning · 2018
507
cited
On the geometry of differential privacy
Symposium on the Theory of Computing · 2009
473
cited
A System for Massively Parallel Hyperparameter Tuning
Conference on Machine Learning and Systems · 2018
465
cited
A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
IEEE Annual Symposium on Foundations of Computer Science · 2010
463
cited
Strategic Classification
Information Technology Convergence and Services · 2015
411
cited
Identity Matters in Deep Learning
International Conference on Learning Representations · 2016
408
cited
Preserving Statistical Validity in Adaptive Data Analysis
Symposium on the Theory of Computing · 2014
394
cited
Performative Prediction
International Conference on Machine Learning · 2020
393
cited
The reusable holdout: Preserving validity in adaptive data analysis
Science · 2015
340
cited
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