Richard Nock

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

1995–2024

Best venue rank

Where they publish

Papers

86 indexed papers, newest first.

Year	Venue	Title	Authors
2024	AAAI	Optimal Transport with Tempered Exponential Measures.	Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth
2023	AISTATS	Clustering above Exponential Families with Tempered Exponential Measures.	Ehsan Amid, Richard Nock, Manfred K. Warmuth
2023	AISTATS	Smoothly Giving up: Robustness for Simple Models.	Tyler Sypherd, Nathaniel Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar
2023	ICML	LegendreTron: Uprising Proper Multiclass Loss Learning.	Kevin H. Lam, Christian J. Walder, Spiridon I. Penev, Richard Nock
2023	ICML	Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice.	Yishay Mansour, Richard Nock, Robert C. Williamson
2023	ICML	Fair Densities via Boosting the Sufficient Statistics of Exponential Families.	Alexander Soen, Hisham Husain, Richard Nock
2022	CVPR	Manifold Learning Benefits GANs.	Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock
2022	ICML	Neural Network Poisson Models for Behavioural and Neural Spike Train Data.	Moein Khajehnejad, Forough Habibollahi, Richard Nock, Ehsan Arabzadeh, Peter Dayan, Amir Dezfouli
2022	ICML	Generative Trees: Adversarial and Copycat.	Richard Nock, Mathieu Guillame-Bert
2022	ICML	Being Properly Improper.	Tyler Sypherd, Richard Nock, Lalitha Sankar
2021	ICML	Generalised Lipschitz Regularisation Equals Distributional Robustness.	Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
2021	ICML	The Impact of Record Linkage on Learning from Feature Partitioned Data.	Richard Nock, Stephen Hardy, Wilko Henecka, Hamish Ivey-Law, Jakub Nabaglo, Giorgio Patrini, Guillaume Smith, Brian Thorne
2020	AISTATS	Local Differential Privacy for Sampling.	Hisham Husain, Borja Balle, Zac Cranko, Richard Nock
2020	CVPR	Adaptive Subspaces for Few-Shot Learning.	Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
2020	ECCV	On Modulating the Gradient for Meta-learning.	Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
2020	ICML	Supervised learning: no loss no cry.	Richard Nock, Aditya Krishna Menon
2019	CVPR	Min-Max Statistical Alignment for Transfer Learning.	Samitha Herath, Mehrtash Harandi, Basura Fernando, Richard Nock
2019	ICCV	Siamese Networks: The Tale of Two Manifolds.	Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley
2019	ICML	Monge blunts Bayes: Hardness Results for Adversarial Training.	Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder
2019	ICML	Boosted Density Estimation Remastered.	Zac Cranko, Richard Nock
2019	ICML	Lossless or Quantized Boosting with Integer Arithmetic.	Richard Nock, Robert C. Williamson
2019	SiggraphA	Non-Euclidean Embeddings for Graph Analytics and Visualisation.	Daniel Filonik, Tian Feng, Ke Sun, Richard Nock, Alex Collins, Tomasz Bednarz
2018	ICASSP	On the Geometry of Mixtures of Prescribed Distributions.	Frank Nielsen, Richard Nock
2018	ICML	Variational Network Inference: Strong and Stable with Concrete Support.	Amir Dezfouli, Edwin V. Bonilla, Richard Nock
2017	AAAI	Tsallis Regularized Optimal Transport and Ecological Inference.	Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen
2017	CVPR	Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach.	Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu
2016	ICIP	Classification with mixtures of curved mahalanobis metrics.	Frank Nielsen, Boris Muzellec, Richard Nock
2016	ICML	k-variates++: more pluses in the k-means++.	Richard Nock, Raphal Canyasse, Roksana Boreli, Frank Nielsen
2016	ICML	Loss factorization, weakly supervised learning and label noise robustness.	Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni
2016	IJCAI	Fast Learning from Distributed Datasets without Entity Matching.	Giorgio Patrini, Richard Nock, Stephen Hardy, Tibrio S. Caetano
2016	SISAP	Patch Matching with Polynomial Exponential Families and Projective Divergences.	Frank Nielsen, Richard Nock
2015	ICASSP	Total Jensen divergences: Definition, properties and clustering.	Frank Nielsen, Richard Nock
2015	ICML	Rademacher Observations, Private Data, and Boosting.	Richard Nock, Giorgio Patrini, Arik Friedman
2014	ICPR	Boosting Stochastic Newton with Entropy Constraint for Large-Scale Image Classification.	Wafa Bel Haj Ali, Richard Nock, Michel Barlaud
2013	SIGGRAPH	Information-geometric lenses for multiple foci+contexts interfaces.	Richard Nock, Frank Nielsen
2012	ICPR	Classification of biological cells using bio-inspired descriptors.	Wafa Bel Haj Ali, Dario Giampaglia, Michel Barlaud, Paolo Piro, Richard Nock, Thierry Pourcher
2012	MICCAI	Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability.	Roberto D'Ambrosio, Wafa Bel Haj Ali, Richard Nock, Paolo Soda, Frank Nielsen, Michel Barlaud
2011	ICML	On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive.	Richard Nock, Brice Magdalou, Eric Briys, Frank Nielsen
2010	ACCV	Multi-class Leveraged	Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud
2010	ICASSP	Hierarchical Gaussian Mixture Model.	Vincent Garcia, Frank Nielsen, Richard Nock
2010	ICCSA	Hyperbolic Voronoi Diagrams Made Easy.	Frank Nielsen, Richard Nock
2010	ICIP	Entropies and cross-entropies of exponential families.	Frank Nielsen, Richard Nock
2010	ICPR	Boosting Bayesian MAP Classification.	Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud
2009	ACCV	Levels of Details for Gaussian Mixture Models.	Vincent Garcia, Frank Nielsen, Richard Nock
2008	ICPR	Bregman sided and symmetrized centroids.	Frank Nielsen, Richard Nock
2008	ICPR	On the efficient minimization of convex surrogates in supervised learning.	Richard Nock, Frank Nielsen
2008	ISIT	Quantum Voronoi diagrams and Holevo channel capacity for 1-qubit quantum states.	Frank Nielsen, Richard Nock
2007	IJCAI	Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree.	Claudia Henry, Richard Nock, Frank Nielsen
2007	MVA	Fast Graph Segmentation Based on Statistical Aggregation Phenomena.	Frank Nielsen, Richard Nock
2007	SODA	On Bregman Voronoi diagrams.	Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock
2006	AI	Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization.	Svetlana Kiritchenko, Stan Matwin, Richard Nock, A. Fazel Famili
2006	ECAI	A Real Generalization of Discrete AdaBoost.	Richard Nock, Frank Nielsen
2006	ECAI	Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm.	Richard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry
2006	ICPR	Robust Multiclass Ensemble Classifiers via Symmetric Functions.	Patrice Lefaucheur, Richard Nock
2006	ICPR	Statistical Borders for Incremental Mining.	Richard Nock, Pierre-Alain Laur, Jean-Emile Symphor
2005	CIKM	On the estimation of frequent itemsets for data streams: theory and experiments.	Pierre-Alain Laur, Richard Nock, Jean-Emile Symphor, Pascal Poncelet
2005	CVPR	Interactive Pinpoint Image Object Removal.	Frank Nielsen, Richard Nock
2005	ICCV	Interactive Point-and-Click Segmentation for Object Removal in Digital Images.	Frank Nielsen, Richard Nock
2005	WWW	Adaptive filtering of advertisements on web pages.	Babak Esfandiari, Richard Nock
2004	CVPR	Grouping with Bias Revisited.	Richard Nock, Frank Nielsen
2004	ICCSA	Approximating Smallest Enclosing Balls.	Frank Nielsen, Richard Nock
2004	ICML	Boosting grammatical inference with confidence oracles.	Jean-Christophe Janodet, Richard Nock, Marc Sebban, Henri-Maxime Suchier
2004	ICPR	Improving Clustering Algorithms through Constrained Convex Optimization.	Richard Nock, Frank Nielsen
2004	ICPR	Grouping with Bias for Distribution-Free Mixture Model Estimation.	Richard Nock, Vincent Pag
2004	SDM	An Abstract Weighting Framework for Clustering Algorithms.	Richard Nock, Frank Nielsen
2003	CVPR	On Region Merging: The Statistical Soundness of Fast Sorting, with Applications.	Frank Nielsen, Richard Nock
2001	CVPR	Fast and Reliable Color Region Merging inspired by Decision Tree Pruning.	Richard Nock
2001	FlAIRS	Improvement of Nearest-Neighbor Classifiers via Support Vector Machines.	Marc Sebban, Richard Nock
2001	ICML	Boosting Neighborhood-Based Classifiers.	Marc Sebban, Richard Nock, Stphane Lallich
2000	AI	Identifying and Eliminating Irrelevant Instances Using Information Theory.	Marc Sebban, Richard Nock
2000	ALT	Sharper Bounds for the Hardness of Prototype and Feature Selection.	Richard Nock, Marc Sebban
2000	BMVC	A Concentration-Based Adaptive Approach to Region Merging of Optimal Time and Space Complexities.	Christophe Fiorio, Richard Nock
2000	FlAIRS	A Boosting-Based Prototype Weighting and Selection Scheme.	Richard Nock, Marc Sebban
2000	ICIP	Sorted Region Merging to Maximize Test Reliability.	Christophe Fiorio, Richard Nock
2000	ICML	Instance Pruning as an Information Preserving Problem.	Marc Sebban, Richard Nock
2000	UAI	Combining Feature and Example Pruning by Uncertainty Minimization.	Marc Sebban, Richard Nock
1999	ALT	Complexity in the Case against Accuracy: When Building one Function-Free Horn Clause is as Hard as Any.	Richard Nock
1999	IDA	A "Top-Down and Prune" Induction Scheme for Constrained Decision Committees.	Richard Nock, Pascal Jappy
1998	AI	Oracles and Assistants: Machine Learning Applied to Network Supervision.	Richard Nock, Babak Esfandiari
1998	ICCS	PAC Learning Conceptual Graphs.	Pascal Jappy, Richard Nock
1998	ICML	On the Power of Decision Lists.	Richard Nock, Pascal Jappy
1998	ILP	Function-Free Horn Clauses Are Hard to Approximate.	Richard Nock, Pascal Jappy
1998	ISAAC	Generalized Graph Colorability and Compressibility of Boolean Formulae.	Richard Nock, Pascal Jappy, Jean Sallantin
1998	ICTAI	Image segmentation using a generic, fast and non-parametric approach.	Christophe Fiorio, Richard Nock
1996	ICML	Negative Robust Learning Results from Horn Claus Programs.	Pascal Jappy, Richard Nock, Olivier Gascuel
1995	ICML	On Learning Decision Committees.	Richard Nock, Olivier Gascuel