Charles Sutton

Proceedings of the 37th International Conference on Machine Learning, 2020

Generative Ratio Matching Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Represent Programs with Property Signatures.

[BibT_eX]

[DOI]

Augustus Odena

Christopher K. I. Williams

Proceedings of the 8th International Conference on Learning Representations, 2020

Global Relational Models of Source Code.

[BibT_eX]

[DOI]

Vincent J. Hellendoorn

Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data.

[BibT_eX]

[DOI]

Simão Eduardo

Alfredo Nazábal

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Probabilistic programming with densities in SlicStan: efficient, flexible, and deterministic.

[BibT_eX]

[DOI]

Maria I. Gorinova

Andrew D. Gordon

Gerrit J. J. van den Burg

Proc. ACM Program. Lang., 2019

Wrangling messy CSV files by detecting row and type patterns.

[BibT_eX]

[DOI]

Alfredo Nazábal

Christopher K. I. Williams

Data Min. Knowl. Discov., 2019

Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data.

[BibT_eX]

[DOI]

Simão Eduardo

Alfredo Nazábal

Rafael-Michael Karampatsis

CoRR, 2019

Maybe Deep Neural Networks are the Best Choice for Modeling Source Code.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Semantic Annotations for Tabular Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Variational Russian Roulette for Deep Bayesian Nonparametrics.

[BibT_eX]

[DOI]

Kai Xu

Akash Srivastava

Proceedings of the 36th International Conference on Machine Learning, 2019

GEMSEC: graph embedding with self clustering.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

ColNet: Embedding the Semantics of Web Tables for Column Type Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Mining Semantic Loop Idioms.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2018

A Survey of Machine Learning for Big Code and Naturalness.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2018

Deep Learning to Detect Redundant Method Comments.

[BibT_eX]

[DOI]

CoRR, 2018

Ratio Matching MMD Nets: Low dimensional projections for effective deep generative models.

[BibT_eX]

[DOI]

CoRR, 2018

Variational Inference In Pachinko Allocation Machines.

[BibT_eX]

[DOI]

Akash Srivastava

CoRR, 2018

Synthesis of Differentiable Functional Programs for Lifelong Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Interpreting Deep Classifier by Visual Distillation of Dark Knowledge.

[BibT_eX]

[DOI]

CoRR, 2018

Wrattler: Reproducible, live and polyglot notebooks.

[BibT_eX]

[DOI]

Tomas Petricek

James Geddes

Proceedings of the 10th USENIX Workshop on the Theory and Practice of Provenance, 2018

HOUDINI: Lifelong Learning as Program Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts.

[BibT_eX]

[DOI]

Annie Louis

Themistoklis Diamantopoulos

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Summarizing Software API Usage Examples Using Clustering Techniques.

[BibT_eX]

[DOI]

Nikolaos Katirtzis

Proceedings of the Fundamental Approaches to Software Engineering, 2018

Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Autofolding for Source Code Summarization.

[BibT_eX]

[DOI]

Pankajan Chanthirasegaran

IEEE Trans. Software Eng., 2017

Popularity of arXiv.org within Computer Science.

[BibT_eX]

[DOI]

Linan Gong

CoRR, 2017

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Continuous Semantic Representations of Symbolic Expressions.

[BibT_eX]

[DOI]

Pankajan Chanthirasegaran

Pushmeet Kohli

Proceedings of the 34th International Conference on Machine Learning, 2017

Autoencoding Variational Inference For Topic Models.

[BibT_eX]

[DOI]

Akash Srivastava

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A Bayesian Approach to Parameter Inference in Queueing Networks.

[BibT_eX]

[DOI]

Weikun Wang

Giuliano Casale

ACM Trans. Model. Comput. Simul., 2016

Sequence-to-point learning with neural networks for nonintrusive load monitoring.

[BibT_eX]

[DOI]

CoRR, 2016

Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation.

[BibT_eX]

[DOI]

CoRR, 2016

Tailored Mutants Fit Bugs Better.

[BibT_eX]

[DOI]

CoRR, 2016

More Semantics More Robust: Improving Android Malware Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM Conference on Security & Privacy in Wireless and Mobile Networks, 2016

Parameter-free probabilistic API mining across GitHub.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Composite Denoising Autoencoders.

[BibT_eX]

[DOI]

Krzysztof J. Geras

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A Bayesian Network Model for Interesting Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A Subsequence Interleaving Model for Sequential Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Context Matters: Towards Extracting a Citation's Context Using Linguistic Features.

[BibT_eX]

[DOI]

Daniel Duma

Ewan Klein

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

On Robust Malware Classifiers by Verifying Unwanted Behaviours.

[BibT_eX]

[DOI]

Proceedings of the Integrated Formal Methods - 12th International Conference, 2016

TASSAL: autofolding for source code summarization.

[BibT_eX]

[DOI]

Pankajan Chanthirasegaran

Proceedings of the 38th International Conference on Software Engineering, 2016

A Convolutional Attention Network for Extreme Summarization of Source Code.

[BibT_eX]

[DOI]

Hao Peng

Proceedings of the 33nd International Conference on Machine Learning, 2016

A text-mining approach to explain unwanted behaviours.

[BibT_eX]

[DOI]

Proceedings of the 9th European Workshop on System Security, 2016

Explaining Unwanted Behaviours in Context.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Innovations in Mobile Privacy and Security, 2016

2015

Programming with "Big Code" (Dagstuhl Seminar 15472).

[BibT_eX]

[DOI]

William W. Cohen

Martin T. Vechev

Dagstuhl Reports, 2015

Scheduled denoising autoencoders.

[BibT_eX]

[DOI]

Krzysztof J. Geras

Proceedings of the 3rd International Conference on Learning Representations, 2015

Compressing LSTMs into CNNs.

[BibT_eX]

[DOI]

CoRR, 2015

Parameter-Free Probabilistic API Mining at GitHub Scale.

[BibT_eX]

[DOI]

CoRR, 2015

Suggesting accurate method and class names.

[BibT_eX]

[DOI]

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Latent Bayesian melding for integrating individual and population models.

[BibT_eX]

[DOI]

Mingjun Zhong

Nigel H. Goddard

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Autofolding for Source Code Summarization.

[BibT_eX]

[DOI]

CoRR, 2014

Learning Natural Coding Conventions.

[BibT_eX]

[DOI]

Earl T. Barr

CoRR, 2014

Word storms: multiples of word clouds for visual comparison of documents.

[BibT_eX]

[DOI]

Quim Castellà

Proceedings of the 23rd International World Wide Web Conference, 2014

Mining idioms from source code.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014

Learning natural coding conventions.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014

Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation.

[BibT_eX]

[DOI]

Mingjun Zhong

Nigel H. Goddard

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models.

[BibT_eX]

[DOI]

Yichuan Zhang

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Supporting User-Defined Functions on Uncertain Data.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2013

Mining source code repositories at massive scale using language modeling.

[BibT_eX]

[DOI]

Proceedings of the 10th Working Conference on Mining Software Repositories, 2013

Why, when, and what: analyzing stack overflow questions by topic, type, and code.

[BibT_eX]

[DOI]

Proceedings of the 10th Working Conference on Mining Software Repositories, 2013

Multiple-source cross-validation.

[BibT_eX]

[DOI]

Krzysztof J. Geras

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

An Introduction to Conditional Random Fields.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2012

Continuous Relaxations for Discrete Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Machine learning and multimedia content generation for energy demand reduction.

[BibT_eX]

[DOI]

Proceedings of the Sustainable Internet and ICT for Sustainability, 2012

2011

Distributed inference and query processing for RFID tracking and monitoring.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2011

Quasi-Newton Methods for Markov Chain Monte Carlo.

[BibT_eX]

[DOI]

Yichuan Zhang

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Inference and Learning in Networks of Queues.

[BibT_eX]

[DOI]

Michael I. Jordan

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Bayesian Inference in Queueing Networks

[BibT_eX]

[DOI]

Michael I. Jordan

CoRR, 2010

2009

Piecewise training for structured prediction.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Probabilistic Inference over RFID Streams in Mobile Environments.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Data Engineering, 2009

Automatic exploration of datacenter performance regimes.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Automated Control for Datacenters and Clouds, 2009

Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Hot Topics in Cloud Computing, 2009

Capturing Data Uncertainty in High-Volume Stream Processing.

[BibT_eX]

[DOI]

Proceedings of the Fourth Biennial Conference on Innovative Data Systems Research, 2009

2008

Probabilistic Inference in Queueing Networks.

[BibT_eX]

[DOI]

Benjamin I. P. Rubinstein

Michael I. Jordan

Proceedings of the Third Workshop on Tackling Computer Systems Problems with Machine Learning Techniques, 2008

Exploiting Machine Learning to Subvert Your Spam Filter.

[BibT_eX]

[DOI]

Proceedings of the First USENIX Workshop on Large-Scale Exploits and Emergent Threats, 2008

Unsupervised deduplication using cross-field dependencies.

[BibT_eX]

[DOI]

Robert J. Hall

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data.

[BibT_eX]

[DOI]

Khashayar Rohanimanesh

J. Mach. Learn. Res., 2007

Improved Dynamic Schedules for Belief Propagation.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

Piecewise pseudolikelihood for efficient training of conditional random fields.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

2006

Reducing Weight Undertraining in Structured Discriminative Learning.

[BibT_eX]

[DOI]

Michael Sindelar

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields.

[BibT_eX]

[DOI]

Chris Pal

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Piecewise Training for Undirected Models.

[BibT_eX]

[DOI]

Proceedings of the UAI '05, 2005

Composition of Conditional Random Fields for Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the HLT/EMNLP 2005, 2005

Joint Parsing and Semantic Role Labeling.

[BibT_eX]

[DOI]

Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

Learning in Markov Random Fields with Contrastive Free Energies.

[BibT_eX]

[DOI]

Max Welling