Cheng Soon Ong

According to our database, Cheng Soon Ong authored at least 75 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families.

Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Guest Editorial: Special issue on robust machine learning.

Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio, Dragos D. Margineantu, Cheng Soon Ong

Mach. Learn., 2023

Uncertainty Quantification of the Virial Black Hole Mass with Conformal Prediction.

Suk Yee Yong, Cheng Soon Ong

CoRR, 2023

Squared Neural Families: A New Class of Tractable Density Models.

Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Factorized Fourier Neural Operators.

Alasdair Tran, Alexander Patrick Mathews, Lexing Xie, Cheng Soon Ong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Deep equilibrium models as estimators for continuous latent variables.

Russell Tsuchida, Cheng Soon Ong

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive).

Qiao Wang, Sylvia Young, Aaron Harwood, Cheng Soon Ong

Dataset, July, 2022

Two-Stage Neural Contextual Bandits for Personalised News Recommendation.

Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong

CoRR, 2022

Declarative nets that are equilibrium models.

Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong

Proceedings of the Tenth International Conference on Learning Representations, 2022

Gaussian Process Bandits with Aggregated Feedback.

Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

eQTLHap: a tool for comprehensive eQTL analysis considering haplotypic and genotypic effects.

Ziad Al Bkhetan, Gursharan Chana, Cheng Soon Ong, Benjamin Goudey, Kotagiri Ramamohanarao

Briefings Bioinform., 2021

Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series.

Alasdair Tran, Alexander Patrick Mathews, Cheng Soon Ong, Lexing Xie

Proceedings of the WWW '21: The Web Conference 2021, 2021

Quantile Bandits for Best Arms Identification.

Mengyan Zhang, Cheng Soon Ong

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Quantile Bandits for Best Arms Identification with Concentration Inequalities.

Mengyan Zhang, Cheng Soon Ong

CoRR, 2020

2019

New Tricks for Estimating Gradients of Expectations.

Christian J. Walder, Richard Nock, Cheng Soon Ong, Masashi Sugiyama

CoRR, 2019

Disentangled behavioural representations.

Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Monge blunts Bayes: Hardness Results for Adversarial Training.

Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder

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

Costs and Benefits of Fair Representation Learning.

Daniel McNamara, Cheng Soon Ong, Robert C. Williamson

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Wheel Defect Detection With Machine Learning.

Gabriel Krummenacher, Cheng Soon Ong, Stefan Koller, Seijin Kobayashi, Joachim M. Buhmann

IEEE Trans. Intell. Transp. Syst., 2018

Cold-start playlist recommendation with multitask learning.

Dawei Chen, Cheng Soon Ong, Aditya Krishna Menon

PeerJ Prepr., 2018

Combining active learning suggestions.

Alasdair Tran, Cheng Soon Ong, Christian Wolf

PeerJ Comput. Sci., 2018

Monge beats Bayes: Hardness Results for Adversarial Training.

Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder

CoRR, 2018

A Primer on Causal Analysis.

Finnian Lattimore, Cheng Soon Ong

CoRR, 2018

Representation Learning of Compositional Data.

Marta Avalos, Richard Nock, Cheng Soon Ong, Julien Rouar, Ke Sun

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

2017

kWIP: The k-mer weighted inner product, a de novo estimator of genetic similarity.

Kevin D. Murray, Christfried Webers, Cheng Soon Ong, Justin O. Borevitz, Norman Warthmann

PLoS Comput. Biol., 2017

Provably Fair Representations.

Daniel McNamara, Cheng Soon Ong, Robert C. Williamson

CoRR, 2017

Structured Recommendation.

Dawei Chen, Lexing Xie, Aditya Krishna Menon, Cheng Soon Ong

CoRR, 2017

Revisiting revisits in trajectory recommendation.

Aditya Krishna Menon, Dawei Chen, Lexing Xie, Cheng Soon Ong

Proceedings of International Workshop on Citizens for Recommender Systems, 2017

PathRec: Visual Analysis of Travel Route Recommendations.

Dawei Chen, Dongwoo Kim, Lexing Xie, Minjeong Shin, Aditya Krishna Menon, Cheng Soon Ong, Iman Avazpour, John Grundy

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016

Learning SVM in Kreĭn Spaces.

Gaëlle Loosli, Stéphane Canu, Cheng Soon Ong

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Multivariate Spearman's rho for Aggregating Ranks Using Copulas.

Justin Bedo, Cheng Soon Ong

J. Mach. Learn. Res., 2016

A Modular Theory of Feature Learning.

Daniel McNamara, Cheng Soon Ong, Robert C. Williamson

CoRR, 2016

<i>SplAdder</i>: identification, quantification and testing of alternative splicing events from RNA-Seq data.

André Kahles, Cheng Soon Ong, Yi Zhong, Gunnar Rätsch

Bioinform., 2016

A scaled Bregman theorem with applications.

Richard Nock, Aditya Krishna Menon, Cheng Soon Ong

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Linking losses for density ratio and class-probability estimation.

Aditya Krishna Menon, Cheng Soon Ong

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

Hawkes Processes with Stochastic Excitations.

Young Lee, Kar Wai Lim, Cheng Soon Ong

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

Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches.

Dongwoo Kim, Lexing Xie, Cheng Soon Ong

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Learning Points and Routes to Recommend Trajectories.

Dawei Chen, Cheng Soon Ong, Lexing Xie

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Introduction: special issue of selected papers of ACML 2013.

Cheng Soon Ong, Wray L. Buntine, Tu Bao Ho, Masashi Sugiyama, Geoffrey I. Webb

Mach. Learn., 2015

Discriminative concept learning network: Reveal high-level differential concepts from shallow architecture.

Qiao Wang, Sylvia Young, Aaron Harwood, Cheng Soon Ong

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Learning from Corrupted Binary Labels via Class-Probability Estimation.

Aditya Krishna Menon, Brendan van Rooyen, Cheng Soon Ong, Bob Williamson

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Open science in machine learning.

Joaquin Vanschoren, Mikio L. Braun, Cheng Soon Ong

CoRR, 2014

Cell density in prostate histopathology images as a measure of tumor distribution.

Hayley M. Reynolds, Scott Williams, Alan M. Zhang, Cheng Soon Ong, David Rawlinson, Rajib Chakravorty, Catherine Mitchell, Annette Haworth

Proceedings of the Medical Imaging 2014: Digital Pathology, 2014

2013

Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma.

Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann

Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Learning sparse classifiers with difference of convex functions algorithms.

Cheng Soon Ong, Le Thi Hoai An

Optim. Methods Softw., 2013

Near-optimal experimental design for model selection in systems biology.

Alberto Giovanni Busetto, Alain Hauser, Gabriel Krummenacher, Mikael Sunnåker, Sotiris Dimopoulos, Cheng Soon Ong, Jörg Stelling, Joachim M. Buhmann

Bioinform., 2013

Analytic center cutting plane method for multiple kernel learning.

Sharon Wulff, Cheng Soon Ong

Ann. Math. Artif. Intell., 2013

Applications of Class-Conditional Conformal Predictor in Multi-class Classification.

Fan Shi, Cheng Soon Ong, Christopher Leckie

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Ellipsoidal Multiple Instance Learning.

Gabriel Krummenacher, Cheng Soon Ong, Joachim M. Buhmann

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

2012

Part & Clamp: Efficient Structured Output Learning.

Patrick Pletscher, Cheng Soon Ong

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Bayesian mixed-effects inference on classification performance in hierarchical data sets.

Kay Henning Brodersen, Christoph Mathys, Justin R. Chumbley, Jean Daunizeau, Cheng Soon Ong, Joachim M. Buhmann, Klaas E. Stephan

J. Mach. Learn. Res., 2012

2011

Generative Embedding for Model-Based Classification of fMRI Data.

Kay Henning Brodersen, Thomas M. Schofield, Alexander P. Leff, Cheng Soon Ong, Ekaterina I. Lomakina, Joachim M. Buhmann, Klaas E. Stephan

PLoS Comput. Biol., 2011

Model-based feature construction for multivariate decoding.

Kay Henning Brodersen, Florent Haiss, Cheng Soon Ong, Fabienne Jung, Marc Tittgemeyer, Joachim M. Buhmann, Bruno Weber, Klaas E. Stephan

NeuroImage, 2011

Contextual Gaussian Process Bandit Optimization.

Andreas Krause, Cheng Soon Ong

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

Learning Output Kernels with Block Coordinate Descent.

Francesco Dinuzzo, Cheng Soon Ong, Peter V. Gehler, Gianluigi Pillonetto

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Entropy and Margin Maximization for Structured Output Learning.

Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

The Binormal Assumption on Precision-Recall Curves.

Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann

Proceedings of the 20th International Conference on Pattern Recognition, 2010

The Balanced Accuracy and Its Posterior Distribution.

Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma.

Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann

Proceedings of the Pattern Recognition, 2010

2009

<i>mGene.web</i>: a web service for accurate computational gene finding.

Gabriele Beate Schweikert, Jonas Behr, Alexander Zien, Georg Zeller, Cheng Soon Ong, Sören Sonnenburg, Gunnar Rätsch

Nucleic Acids Res., 2009

Spanning Tree Approximations for Conditional Random Fields.

Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Optimized expected information gain for nonlinear dynamical systems.

Alberto Giovanni Busetto, Cheng Soon Ong, Joachim M. Buhmann

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Support Vector Machines and Kernels for Computational Biology.

Asa Ben-Hur, Cheng Soon Ong, Sören Sonnenburg, Bernhard Schölkopf, Gunnar Rätsch

PLoS Comput. Biol., 2008

An Automated Combination of Kernels for Predicting Protein Subcellular Localization.

Cheng Soon Ong, Alexander Zien

Proceedings of the Algorithms in Bioinformatics, 8th International Workshop, 2008

2007

The Need for Open Source Software in Machine Learning.

Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson

J. Mach. Learn. Res., 2007

PALMA: mRNA to genome alignments using large margin algorithms.

Uta Schulze, Bettina Hepp, Cheng Soon Ong, Gunnar Rätsch

Bioinform., 2007

Multiclass multiple kernel learning.

Alexander Zien, Cheng Soon Ong

Proceedings of the Machine Learning, 2007

2006

PALMA: Perfect Alignments using Large Margin Algorithms.

Gunnar Rätsch, Bettina Hepp, Uta Schulze, Cheng Soon Ong

Proceedings of the German Conference on Bioinformatics GCB 2006, 19.09. 2006, 2006

2005

Learning the Kernel with Hyperkernels.

Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson

J. Mach. Learn. Res., 2005

Protein function prediction via graph kernels.

Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel

Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

2004

Learning with non-positive kernels.

Cheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola

Proceedings of the Machine Learning, 2004

2003

Machine Learning with Hyperkernels.

Cheng Soon Ong, Alexander J. Smola

Proceedings of the Machine Learning, 2003

2002

Hyperkernels.

Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2000

On designing an automated Malaysian stemmer for the Malay language (poster session).

Sock Yin Tai, Cheng Soon Ong, Noor Aida Abdullah

Proceedings of the Fifth International Workshop on Information Retrieval with Asian Languages, 2000, Hong Kong, China, September 30, 2000

1999

A comparison of artificial neural networks and cluster analysis for typing biometrics authentication.

Leenesh Kumar Maisuria, Cheng Soon Ong, Wen Kin Lai

Proceedings of the International Joint Conference Neural Networks, 1999