Hsu, Daniel

Reconciling modern machine-learning practice and the classical bias–variance trade-off

Belkin, M., Hsu, D., Ma, S., & Mandal, S. (2019) · Proceedings of the National Academy of Sciences

Stochastic Gradient Optimization TechniquesMachine Learning and Algorithms

Cited by 1,595

Certified Robustness to Adversarial Examples with Differential Privacy

Lecuyer, M., Atlidakis, V., Geambasu, R., Hsu, D., & Jana, S. (2019) · 2019 IEEE Symposium on Security and Privacy (SP)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 750

FairTest: Discovering Unwarranted Associations in Data-Driven Applications

Tramer, F., Atlidakis, V., Geambasu, R., Hsu, D., Hubaux, J.-P., Humbert, M., Juels, A., & Lin, H. (2017) · 2017 IEEE European Symposium on Security and Privacy (EuroS&P)

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 171

FairTest: Discovering Unwarranted Associations in Data-Driven Applications

Tramèr, F., Atlidakis, V., Geambasu, R., Hsu, D., Hubaux, J.-P., Humbert, M., Juels, A., & Lin, H. (2015) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 171

Non-Gaussian information from weak lensing data via deep learning

Gupta, A., Matilla, J. M. Z., Hsu, D., & Haiman, Z. (2018) · Physical Review D

Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena

Cited by 128

Discovering foodborne illness in online restaurant reviews

Effland, T., Lawson, A., Balter, S., Devinney, K., Reddy, V., Waechter, H., Gravano, L., & Hsu, D. (2018) · Journal of the American Medical Informatics Association

Data-Driven Disease SurveillanceText and Document Classification Technologies

Cited by 55

Sunlight: Fine-grained Targeting Detection at Scale with Statistical Confidence

Lecuyer, M., Spahn, R., Spiliopolous, Y., Chaintreau, A., Geambasu, R., & Hsu, D. (2015) · Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security

Privacy, Security, and Data ProtectionPrivacy-Preserving Technologies in Data

Cited by 48

Interpreting deep learning models for weak lensing

Matilla, J. M. Z., Sharma, M., Hsu, D., & Haiman, Z. (2020) · Physical Review D

Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena

Cited by 48

Transformers, parallel computation, and logarithmic depth

Sanford, C., Hsu, D., & Telgarsky, M. (2024) · arXiv

Neural Networks and ApplicationsParallel Computing and Optimization Techniques

Cited by 2

Learning Compositional Functions with Transformers from Easy-to-Hard Data

Wang, Z., Nichani, E., Bietti, A., Damian, A., Hsu, D., Lee, J. D., & Wu, D. (2025) · arXiv

Machine Learning and AlgorithmsNeural Networks and Applications

Cited by 0