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Adam Craig Pocock
Person information
- affiliation: Oracle Labs
- affiliation: University of Manchester, UK
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2020 – today
- 2024
- [c10]Nichole Boufford
, Joseph Wonsil
Computational Experiment Comprehension using Provenance Summarization. ACM-REP 2024 - 2023
- [c9]Joseph Wonsil
Integrated Reproducibility with Self-describing Machine Learning Models. ACM-REP 2023: 1-14 - 2021
- [c8]Daniel Goodman, Adam Craig Pocock, Jason Peck, Guy L. Steele Jr.:
Vate: Runtime Adaptable Probabilistic Programming for Java. EuroMLSys@EuroSys 2021: 62-69 - [i3]Adam Craig Pocock:
Tribuo: Machine Learning with Provenance in Java. CoRR abs/2110.03022 (2021) - 2020
- [j4]Konstantinos Sechidis, Laura Azzimonti
Correction to: Efficient feature selection using shrinkage estimators. Mach. Learn. 109(8): 1565-1567 (2020) - [i2]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 abs/2010.11855 (2020)
2010 – 2019
- 2019
- [j3]Konstantinos Sechidis
Efficient feature selection using shrinkage estimators. Mach. Learn. 108(8-9): 1261-1286 (2019) - 2016
- [c7]Michael L. Wick, Pallika Kanani, Adam Craig Pocock:
Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching. AAAI 2016: 2849-2855 - 2015
- [c6]Anthony Kleerekoper
A scalable implementation of information theoretic feature selection for high dimensional data. IEEE BigData 2015: 339-346 - 2014
- [c5]Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Craig Pocock, Stephen J. Green, Guy L. Steele Jr.:
Augur: Data-Parallel Probabilistic Modeling. NIPS 2014: 2600-2608 - 2013
- [j2]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): 1033-1090 (2013) - [i1]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 abs/1312.3613 (2013) - 2012
- [b1]Adam Craig Pocock:
Feature selection via joint likelihood. University of Manchester, UK, 2012 - [j1]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: 27-66 (2012) - [c4]Adam Craig Pocock, Mikel Luján, Gavin Brown:
Informative Priors for Markov Blanket Discovery. AISTATS 2012: 905-913 - 2010
- [c3]Nikolas Ioannou, Jeremy Singer
Toward a more accurate understanding of the limits of the TLS execution paradigm. IISWC 2010: 1-12 - [c2]Adam Craig Pocock, Paraskevas Yiapanis, Jeremy Singer
Online Non-stationary Boosting. MCS 2010: 205-214
2000 – 2009
- 2009
- [c1]Jeremy Singer
Fundamental Nano-Patterns to Characterize and Classify Java Methods. LDTA 2009: 191-204
Coauthor Index
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