Adam Craig Pocock

19 papers A* 1A 1Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Raising the Reproducibility Bar.
ACM REP
Joseph Wonsil, Rúbia Reis Guerra, Adam Craig Pocock, Jack Sullivan, Margo I. Seltzer
2024 — conf
Computational Experiment Comprehension using Provenance Summarization.
ACM-REP
Nichole Boufford, Joseph Wonsil, Adam Craig Pocock, Jack Sullivan, Margo I. Seltzer, Thomas Pasquier
2023 — conf
Integrated Reproducibility with Self-describing Machine Learning Models.
ACM-REP
Joseph Wonsil, Jack Sullivan, Margo I. Seltzer, Adam Craig Pocock
2021 J jnl
Tribuo: Machine Learning with Provenance in Java.
CoRR
Adam Craig Pocock
2021 — conf
Vate: Runtime Adaptable Probabilistic Programming for Java.
EuroMLSys@EuroSys
Daniel Goodman, Adam Craig Pocock, Jason Peck, Guy L. Steele Jr.
2020 J jnl
Correction to: Efficient feature selection using shrinkage estimators.
Mach. Learn.
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
2020 J jnl
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data.
CoRR
Michael L. Wick, Kate Silverstein, Jean-Baptiste Tristan, Adam Craig Pocock, Mark Johnson
2019 J jnl
Efficient feature selection using shrinkage estimators.
Mach. Learn.
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
2016 A* conf
Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching.
AAAI
Michael L. Wick, Pallika Kanani, Adam Craig Pocock
2015 — conf
A scalable implementation of information theoretic feature selection for high dimensional data.
IEEE BigData
Anthony Kleerekoper, Michael Pappas, Adam Craig Pocock, Gavin Brown, Mikel Luján
2014 — conf
Augur: Data-Parallel Probabilistic Modeling.
NIPS
Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Craig Pocock, Stephen J. Green, Guy L. Steele Jr.
2013 J jnl
Augur: a Modeling Language for Data-Parallel Probabilistic Inference.
CoRR
Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Craig Pocock, Stephen J. Green, Guy L. Steele Jr.
2013 J jnl
Beyond Fano's inequality: bounds on the optimal F-score, BER, and cost-sensitive risk and their implications.
J. Mach. Learn. Res.
Ming-Jie Zhao, Narayanan Unny Edakunni, Adam Craig Pocock, Gavin Brown
2012 J jnl
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection.
J. Mach. Learn. Res.
Gavin Brown, Adam Craig Pocock, Ming-Jie Zhao, Mikel Luján
2012 — —
Feature selection via joint likelihood.
Adam Craig Pocock
2012 A conf
Informative Priors for Markov Blanket Discovery.
AISTATS
Adam Craig Pocock, Mikel Luján, Gavin Brown
2010 — conf
Online Non-stationary Boosting.
MCS
Adam Craig Pocock, Paraskevas Yiapanis, Jeremy Singer, Mikel Luján, Gavin Brown
2010 — conf
Toward a more accurate understanding of the limits of the TLS execution paradigm.
IISWC
Nikolas Ioannou, Jeremy Singer, Salman Khan, Polychronis Xekalakis, Paraskevas Yiapanis, Adam Craig Pocock, Gavin Brown, Mikel Luján, Ian Watson, Marcelo Cintra
2009 — conf
Fundamental Nano-Patterns to Characterize and Classify Java Methods.
LDTA
Jeremy Singer, Gavin Brown, Mikel Luján, Adam Craig Pocock, Paraskevas Yiapanis