Travis Dick
Google (United States)(US)
Publications by Year
Research Areas
Machine Learning and Algorithms, Privacy-Preserving Technologies in Data, Machine Learning and Data Classification, Advanced Bandit Algorithms Research, Cryptography and Data Security
Most-Cited Works
- Learning to Branch(2018)
- → Dispersion for Data-Driven Algorithm Design, Online Learning, and Private Optimization(2018)55 cited
- Differentially Private Clustering in High-Dimensional Euclidean Spaces(2017)
- → SEPO: Selecting by pointing as an intuitive human-robot command interface(2013)38 cited
- → Real-time prediction learning for the simultaneous actuation of multiple prosthetic joints(2013)36 cited
- Random Smoothing Might be Unable to Certify L∞ Robustness for High-Dimensional Images(2020)
- → Confidence-ranked reconstruction of census microdata from published statistics(2023)23 cited
- → Understanding the temperature field in fused filament fabrication for enhanced mechanical part performance(2019)21 cited
- Differentially Private Covariance Estimation(2019)