Adam Craig Pocock

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 8

Top Venues

Mach. Learn.

CoRR

ACM-REP

IEEE BigData

University of Manchester, UK (PHD)

Education History

University of Manchester, UK

PHD

Publications

Nichole Boufford, Joseph Wonsil, Adam Craig Pocock, Jack Sullivan, Margo I. Seltzer, Thomas Pasquier
Computational Experiment Comprehension using Provenance Summarization. ACM-REP (2024)
Joseph Wonsil, Jack Sullivan, Margo I. Seltzer, Adam Craig Pocock
Integrated Reproducibility with Self-describing Machine Learning Models. ACM-REP (2023)
Adam Craig Pocock
Tribuo: Machine Learning with Provenance in Java. CoRR (2021)
Daniel Goodman, Adam Craig Pocock, Jason Peck, Guy L. Steele Jr.
Vate: Runtime Adaptable Probabilistic Programming for Java. EuroMLSys@EuroSys (2021)
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
Correction to: Efficient feature selection using shrinkage estimators. Mach. Learn. 109 (8) (2020)
Michael L. Wick, Kate Silverstein, Jean-Baptiste Tristan, Adam Craig Pocock, Mark Johnson
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data. CoRR (2020)
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
Efficient feature selection using shrinkage estimators. Mach. Learn. 108 (8-9) (2019)
Michael L. Wick, Pallika Kanani, Adam Craig Pocock
Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching. AAAI (2016)
Anthony Kleerekoper, Michael Pappas, Adam Craig Pocock, Gavin Brown, Mikel Luján
A scalable implementation of information theoretic feature selection for high dimensional data. IEEE BigData (2015)
Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Craig Pocock, Stephen J. Green, Guy L. Steele Jr.
Augur: Data-Parallel Probabilistic Modeling. NIPS (2014)
Ming-Jie Zhao, Narayanan Unny Edakunni, Adam Craig Pocock, Gavin Brown
Beyond Fano's inequality: bounds on the optimal F-score, BER, and cost-sensitive risk and their implications. J. Mach. Learn. Res. 14 (1) (2013)
Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Craig Pocock, Stephen J. Green, Guy L. Steele Jr.
Augur: a Modeling Language for Data-Parallel Probabilistic Inference. CoRR (2013)
Adam Craig Pocock, Mikel Luján, Gavin Brown
Informative Priors for Markov Blanket Discovery. AISTATS (2012)
Gavin Brown, Adam Craig Pocock, Ming-Jie Zhao, Mikel Luján
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection. J. Mach. Learn. Res. 13 (2012)
Adam Craig Pocock, Paraskevas Yiapanis, Jeremy Singer, Mikel Luján, Gavin Brown
Online Non-stationary Boosting. MCS (2010)
Nikolas Ioannou, Jeremy Singer, Salman Khan, Polychronis Xekalakis, Paraskevas Yiapanis, Adam Craig Pocock, Gavin Brown, Mikel Luján, Ian Watson, Marcelo Cintra
Toward a more accurate understanding of the limits of the TLS execution paradigm. IISWC (2010)
Jeremy Singer, Gavin Brown, Mikel Luján, Adam Craig Pocock, Paraskevas Yiapanis
Fundamental Nano-Patterns to Characterize and Classify Java Methods. Electron. Notes Theor. Comput. Sci. 253 (7) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Adam Craig Pocock