Richard Nock
Affiliations:- Google Research
- CSIRO, Data61, Sydney, Australia (former)
- University of the French West Indies, CEREGMIA, Martinique, France (former)
According to our database1,
Richard Nock
authored at least 213 papers
between 1995 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Geometric Science of Information - 5th International Conference, 2021
2020
ACM Trans. Web, 2020
Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume I: Knowledge Representation, 2020
2019
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds.
CoRR, 2019
Proceedings of the SIGGRAPH Asia 2019 Posters, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the Geometric Science of Information - 4th International Conference, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds.
CoRR, 2018
Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Generalizing Skew Jensen Divergences and Bregman Divergences With Comparative Convexity.
IEEE Signal Process. Lett., 2017
MaxEnt Upper Bounds for the Differential Entropy of Univariate Continuous Distributions.
IEEE Signal Process. Lett., 2017
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption.
CoRR, 2017
CoRR, 2017
CoRR, 2017
Generalizing Jensen and Bregman divergences with comparative convexity and the statistical Bhattacharyya distances with comparable means.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Geometric Science of Information - Third International Conference, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
IEEE Trans. Inf. Theory, 2016
CoRR, 2016
Fast $(1+ε)$-approximation of the Löwner extremal matrices of high-dimensional symmetric matrices.
CoRR, 2016
CoRR, 2016
Proceedings of the Similarity Search and Applications - 9th International Conference, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Structural knowledge learning from maps for supervised land cover/use classification: Application to the monitoring of land cover/use maps in French Guiana.
Comput. Geosci., 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
Optimal Interval Clustering: Application to Bregman Clustering and Statistical Mixture Learning.
IEEE Signal Process. Lett., 2014
IEEE Signal Process. Lett., 2014
Entropy, 2014
Further heuristics for $k$-means: The merge-and-split heuristic and the $(k, l)$-means.
CoRR, 2014
A note on the optimal scalar Bregman k-means clustering with an application to learning best statistical mixtures.
CoRR, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Boosting Stochastic Newton with Entropy Constraint for Large-Scale Image Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 30th Annual Symposium on Computational Geometry, 2014
2013
Proceedings of the Advanced Topics in Computer Vision, 2013
CoRR, 2013
Proceedings of the SIGGRAPH Asia 2013, 2013
Non-linear book manifolds: learning from associations the dynamic geometry of digital libraries.
Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013
Proceedings of the Big Data Analytics - Second International Conference, 2013
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013
2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2011
CoRR, 2011
Inducing Interpretable Voting Classifiers without Trading Accuracy for Simplicity: Theoretical Results, Approximation Algorithms
CoRR, 2011
On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive.
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
Proceedings of the 11th International Workshop on Image Analysis for Multimedia Interactive Services, 2010
Proceedings of the Seventh International Symposium on Voronoi Diagrams in Science and Engineering, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the Prodeedings of the 2010 International Conference on Computational Science and Its Applications, 2010
Hierarchical Gaussian Mixture Model.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the Computer Vision - ACCV 2010, 2010
2009
Soft memberships for spectral clustering, with application to permeable language distinction.
Pattern Recognit., 2009
IEEE Trans. Pattern Anal. Mach. Intell., 2009
Int. J. Comput. Geom. Appl., 2009
Proceedings of the Sixth International Symposium on Voronoi Diagrams, 2009
Proceedings of the 17th European Signal Processing Conference, 2009
Proceedings of the Computer Vision, 2009
2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the Emerging Trends in Visual Computing, 2008
Proceedings of the Emerging Trends in Visual Computing, 2008
2007
Theor. Comput. Sci., 2007
Statistical supports for mining sequential patterns and improving the incremental update process on data streams.
Intell. Data Anal., 2007
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the 23rd ACM Symposium on Computational Geometry, 2007
2006
Analyse spectrale des textes : détection automatique des frontières de langue et de discours.
Proceedings of the Actes de la 13ème conférence sur le Traitement Automatique des Langues Naturelles. Posters, 2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006
Proceedings of the 22nd ACM Symposium on Computational Geometry, 2006
Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization.
Proceedings of the Advances in Artificial Intelligence, 2006
2005
Adaptation du boosting à l'inférence grammaticale <i>via</i> l'utilisation d'un oracle de confiance.
Rev. d'Intelligence Artif., 2005
Pattern Recognit., 2005
Inf. Process. Lett., 2005
Proceedings of the 14th international conference on World Wide Web, 2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Proceedings of the 13th ACM International Conference on Multimedia, 2005
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005
Proceedings of the Computer Vision in Human-Computer Interaction, 2005
Proceedings of the Machine Learning: ECML 2005, 2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005
2004
On domain-partitioning induction criteria: worst-case bounds for the worst-case based.
Theor. Comput. Sci., 2004
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the Machine Learning, 2004
Proceedings of the Computational Science and Its Applications, 2004
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004
Proceedings of the 16th Canadian Conference on Computational Geometry, 2004
2003
Reduced Error Pruning of branching programs cannot be approximated to within a logarithmic factor.
Inf. Process. Lett., 2003
A Simple Locally Adaptive Nearest Neighbor Rule With Application To Pollution Forecasting.
Int. J. Pattern Recognit. Artif. Intell., 2003
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003
2002
Pattern Recognit., 2002
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem.
J. Mach. Learn. Res., 2002
Inducing Interpretable Voting Classifiers without Trading Accuracy for Simplicity: Theoretical Results, Approximation Algorithms, and Experiments.
J. Artif. Intell. Res., 2002
2001
Pattern Recognit. Lett., 2001
Int. J. Artif. Intell. Tools, 2001
Boosting Neighborhood-Based Classifiers.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001
2000
Int. J. Comput. Syst. Signals, 2000
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge Discovery.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Instance Pruning as an Information Preserving Problem.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Proceedings of the 2000 International Conference on Image Processing, 2000
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000
A Concentration-Based Adaptive Approach to Region Merging of Optimal Time and Space Complexities.
Proceedings of the British Machine Vision Conference 2000, 2000
Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000
Proceedings of the Advances in Artificial Intelligence, 2000
1999
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999
Complexity in the Case against Accuracy: When Building one Function-Free Horn Clause is as Hard as Any.
Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999
1998
Int. J. Pattern Recognit. Artif. Intell., 1998
Proceedings of the Algorithms and Computation, 9th International Symposium, 1998
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998
Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998
On the Power of Decision Lists.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
Proceedings of the Conceptual Structures: Theory, 1998
Proceedings of the Advances in Artificial Intelligence, 1998
1996
Negative Robust Learning Results from Horn Claus Programs.
Proceedings of the Machine Learning, 1996
1995