Andrew Rice

29 papers A* 2A 1B 3C 1Misc 1Journal 12Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems.
CoRR
Patrick Hytla, Tran Thai An Nghia, Duy Nhat Phan, Andrew Rice
2025 J jnl
Federated learning with randomized alternating direction method of multipliers and application in training neural networks.
Neural Networks
Duy Nhat Phan, Patrick Hytla, Andrew Rice, Thuy Ngoc Nguyen
2025 J jnl
fortran-src: Fortran static analysis infrastructure.
J. Open Source Softw.
Mistral Contrastin, Raoul Hidalgo Charman, Matthew Danish, Benjamin Orchard, Dominic Orchard, Andrew Rice, Jason Xu
2024 J jnl
Incremental units-of-measure verification.
CoRR
Matthew Danish, Dominic Orchard, Andrew Rice
2024 J jnl
Measuring GitHub Copilot's Impact on Productivity.
Commun. ACM
Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, Edward Aftandilian
2022 J jnl
Productivity Assessment of Neural Code Completion.
CoRR
Albert Ziegler, Eirini Kalliamvakou, Shawn Simister, Ganesh Sittampalam, X. Alice Li, Andrew Rice, Devon Rifkin, Edward Aftandilian
2022 — conf
Productivity assessment of neural code completion.
MAPS@PLDI
Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, Edward Aftandilian
2020 — conf
Accelerating the Configuration Tuning of Big Data Analytics with Similarity-aware Multitask Bayesian Optimization.
IEEE BigData
Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice
2020 — conf
Adaptive Forgetting Curves for Spaced Repetition Language Learning.
AIED (2)
Ahmed H. Zaidi, Andrew Caines, Russell Moore, Paula Buttery, Andrew Rice
2020 J jnl
Adaptive Forgetting Curves for Spaced Repetition Language Learning.
CoRR
Ahmed H. Zaidi, Andrew Caines, Russell Moore, Paula Buttery, Andrew Rice
2020 J jnl
Approximating Activation Functions.
CoRR
Nicholas Gerard Timmons, Andrew Rice
2020 J jnl
Guiding user annotations for units-of-measure verification.
CoRR
Dominic Orchard, Mistral Contrastin, Matthew Danish, Andrew Rice
2020 — conf
Learning to Fix Build Errors with Graph2Diff Neural Networks.
ICSE (Workshops)
Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian
2020 A* conf
To Tune or Not to Tune?: In Search of Optimal Configurations for Data Analytics.
KDD
Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice, Andy Hopper
2020 J jnl
Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics.
CoRR
Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice, Andy Hopper
2019 B conf
Accurate Modelling of Language Learning Tasks and Students Using Representations of Grammatical Proficiency.
EDM
Ahmed H. Zaidi, Andrew Caines, Christopher Davis, Russell Moore, Paula Buttery, Andrew Rice
2019 — conf
Analyzing and repairing compilation errors.
ICSE (Companion Volume)
Ali Mesbah, Andrew Rice, Edward Aftandilian, Emily Johnston, Nick Glorioso
2019 — conf
Behavioural Cloning of Teachers for Automatic Homework Selection.
AIED (1)
Russell Moore, Andrew Caines, Andrew Rice, Paula Buttery
2019 — conf
DeepDelta: learning to repair compilation errors.
ESEC/SIGSOFT FSE
Ali Mesbah, Andrew Rice, Emily Johnston, Nick Glorioso, Edward Aftandilian
2019 A* conf
Detecting incorrect build rules.
ICSE
Nándor Licker, Andrew Rice
2019 J jnl
Learning to Fix Build Errors with Graph2Diff Neural Networks.
CoRR
Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian
2019 B conf
Skills Embeddings: A Neural Approach to Multicomponent Representations of Students and Tasks.
EDM
Russell Moore, Andrew Caines, Mark Elliott, Ahmed H. Zaidi, Andrew Rice, Paula Buttery
2019 A conf
Towards Seamless Configuration Tuning of Big Data Analytics.
ICDCS
Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice, Andy Hopper
2017 J jnl
Detecting argument selection defects.
Proc. ACM Program. Lang.
Andrew Rice, Edward Aftandilian, Ciera Jaspan, Emily Johnston, Michael Pradel, Yulissa Arroyo-Paredes
2016 B conf
Picky: Efficient and Reproducible Sharing of Large Datasets Using Merkle-Trees.
MASCOTS
Daniel Hintze, Andrew Rice
2016 Misc conf
Software testing in a scientific research group.
SAC
Matthew Patrick, James Elderfield, Richard O. J. H. Stutt, Andrew Rice, Christopher A. Gilligan
2011 C conf
Context-aided tracking with an adaptive hyperspectral sensor.
FUSION
Andrew Rice, Juan Vasquez
2010 — conf
Target discrimination via optimal wavelength band selection with synthetic hyperspectral imagery.
WHISPERS
Zhong Lu, Andrew Rice, Juan Vasquez, John P. Kerekes
2009 — conf
Feature-aided tracking via synthetic hyperspectral imagery.
WHISPERS
Andrew Rice, Juan Vasquez, Michael Mendenhall, John P. Kerekes