Robert C. Williamson
Active 1975–2026
- 158
- Papers
- 19,403
- Citations
- 43
- h-index
- 87
- i10-index
Citations
Citation sources
Countries
Institutions
Fields
- Computer Science68%
- Engineering13.8%
- Decision Sciences2.5%
- Mathematics2.4%
- Medicine2.2%
- Biochemistry, Genetics and Molecular Biology2.1%
- Other9%
Topics
- Anomaly Detection Techniques and Applications10.2%
- Network Security and Intrusion Detection4.4%
- Face and Expression Recognition3.8%
- Machine Learning and Algorithms2.5%
- Neural Networks and Applications2.3%
- Speech and Audio Processing2.1%
- Other74.7%
Coauthors
- Peter L. Bartlett18
- Alexander J. Smola16
- Bernhard Schölkopf12
- Mark D. Reid12
- Rodney A. Kennedy12
- Darren B. Ward9
- Rabanus Derr9
- John Shawe-Taylor8
- Aditya Krishna Menon7
- Wee Sun Lee7
- Brian D. O. Anderson6
- Cheng Soon Ong6
- Christian Fröhlich6
- Richard Nock6
- Thushara D. Abhayapala5
- Brendan van Rooyen4
- Iven M. Y. Mareels4
- Jyrki Kivinen4
- Adam Kowalczyk3
- Armando J. Cabrera Pacheco3
- Ben James3
- Benedikt Höltgen3
- Brian C. Lovell3
- Daniel McNamara3
All papers
- Estimating the Support of a High-Dimensional Distribution
Authors: Bernhard Schölkopf, John C. Platt, John Shawe-Taylor, Alexander J. Smola, Robert C. Williamson - Neural Computation, Neural Comput. 1999 cited by 5,946
- Support Vector Method for Novelty Detection
Authors: Bernhard Schölkopf, Robert C. Williamson, Alexander J. Smola, John Shawe-Taylor, John C. Platt - http://www.cs.cmu.edu/Web/Groups/NIPS/NIPS99/99papers-pub-on-web/Named-gz/ScholkopfWilliamsonSmolaShawe-Taylor.ps.gz 1999 cited by 2,665
- New Support Vector Algorithms
Authors: Bernhard Schölkopf, Alexander J. Smola, Robert C. Williamson, Peter L. Bartlett - Neural Computation, Neural Comput. 1998 cited by 2,816
- A PAC Analysis of a Bayesian Estimator
Authors: John Shawe-Taylor, Robert C. Williamson - tenth annual conference on Computational learning theory - COLT '97 1997 cited by 177
- The cost of fairness in binary classification
Authors: Aditya Krishna Menon, Robert C. Williamson - FAT 2018 cited by 167
- Structural Risk Minimization Over Data-Dependent Hierarchies
Authors: John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony - IEEE Transactions on Information Theory, IEEE Trans. Inf. Theory 1998 cited by 531
- Scoring Rules and Calibration for Imprecise Probabilities
Authors: Christian Fröhlich, Robert C. Williamson - arXiv (Cornell University), CoRR 2024 cited by 8
- Theory and design of broadband sensor arrays with frequency invariant far-field beam patterns
Authors: D.B. Ward, Rodney A. Kennedy, Robert C. Williamson - The Journal of the Acoustical Society of America 1995 cited by 250
- A Theory of Learning with Corrupted Labels
Authors: Brendan van Rooyen, Robert C. Williamson - Journal of Machine Learning Research, J. Mach. Learn. Res. 2017 cited by 57
- Costs and Benefits of Fair Representation Learning
Authors: Daniel McNamara, Cheng Soon Ong, Robert C. Williamson - AAAI/ACM Conference on AI, AIES 2019 cited by 42
- Online Learning with Kernels
Authors: Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2001 cited by 1,154
- Fairness risk measures
Authors: Robert C. Williamson, Aditya Krishna Menon - ICML 2019 cited by 154
- Support Vector Regression with Automatic Accuracy Control
Authors: Bernhard Schölkopf, Peter L. Bartlett, Alex Smola, Robert C. Williamson - Perspectives in neural computing 1998 cited by 133
- The statistical performance of some instantaneous frequency estimators
Authors: Brian C. Lovell, Robert C. Williamson - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 1992 cited by 122
- PAC-Bayesian Bound for the Conditional Value at Risk
Authors: Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson - NeurIPS 2020 cited by 25
- The cost of fairness in classification
Authors: Aditya Krishna Menon, Robert C. Williamson - arXiv (Cornell University), CoRR 2017 cited by 19
- Regularization with Dot-Product Kernels
Authors: Alexander J. Smola, Zoltán L. Óvári, Robert C. Williamson - http://www.cs.cmu.edu/Web/Groups/NIPS/00papers-pub-on-web/SmolaOvariWilliamson.ps.gz 2000 cited by 134
- Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds
Authors: Robert C. Williamson, Tom Downs - International Journal of Approximate Reasoning, Int. J. Approx. Reason. 1990 cited by 389
- Composite Binary Losses
Authors: Mark D. Reid, Robert C. Williamson - http://axiom.anu.edu.au/%7Ewilliams/papers/P183.pdf, J. Mach. Learn. Res. 2009 cited by 146
- Fat-Shattering and the Learnability of Real-Valued Functions
Authors: Peter L. Bartlett, Philip M. Long, Robert C. Williamson - Journal of Computer and System Sciences, COLT 1994 cited by 119
- SV Estimation of a Distribution's Support
Authors: Bernhard Schölkopf, Robert C. Williamson, Alex Smola, John Shawe‐Taylor - 2000 cited by 82
- Fast rates in statistical and online learning
Authors: Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson - J. Mach. Learn. Res. 2015 cited by 62
- Provably Fair Representations
Authors: Daniel McNamara, Cheng Soon Ong, Robert C. Williamson - arXiv (Cornell University), CoRR 2017 cited by 39
- Threshold effects in multiharmonic maximum likelihood frequency estimation
Authors: Robert C. Williamson, Ben James, Brian D. O. Anderson, Peter J. Kootsookos - Signal Processing, Signal Process. 1994 cited by 14
