Zaïd Harchaoui

According to our database, Zaïd Harchaoui authored at least 112 papers between 2004 and 2024.

Collaborative distances:

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

2024

Federated learning with superquantile aggregation for heterogeneous data.

Krishna Pillutla, Yassine Laguel, Jérôme Malick, Zaïd Harchaoui

Mach. Learn., May, 2024

A Primal-Dual Algorithm for Faster Distributionally Robust Optimization.

Ronak Mehta, Jelena Diakonikolas, Zaïd Harchaoui

CoRR, 2024

JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models.

Jillian Fisher, Ximing Lu, Jaehun Jung, Liwei Jiang, Zaïd Harchaoui, Yejin Choi

CoRR, 2024

2023

Target Propagation via Regularized Inversion for Recurrent Neural Networks.

Vincent Roulet, Zaïd Harchaoui

Trans. Mach. Learn. Res., 2023

Stochastic Optimization under Distributional Drift.

Joshua Cutler, Dmitriy Drusvyatskiy, Zaïd Harchaoui

J. Mach. Learn. Res., 2023

Distributionally Robust Optimization with Bias and Variance Reduction.

Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaïd Harchaoui

CoRR, 2023

FiLM: Fill-in Language Models for Any-Order Generation.

Tianxiao Shen, Hao Peng, Ruoqi Shen, Yao Fu, Zaïd Harchaoui, Yejin Choi

CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

CoRR, 2023

Modified Gauss-Newton Algorithms under Noise.

Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Faith and Fate: Limits of Transformers on Compositionality.

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

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

Stochastic Optimization for Spectral Risk Measures.

Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaïd Harchaoui

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

Influence Diagnostics under Self-concordance.

Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui

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

2022

Superquantile-Based Learning: A Direct Approach Using Gradient-Based Optimization.

Yassine Laguel, Jérôme Malick, Zaïd Harchaoui

J. Signal Process. Syst., 2022

Robust Aggregation for Federated Learning.

Krishna Pillutla, Sham M. Kakade, Zaïd Harchaoui

IEEE Trans. Signal Process., 2022

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data.

Corinne Jones, Vincent Roulet, Zaïd Harchaoui

Stat. Comput., 2022

A Bayesian approach to modeling phytoplankton population dynamics from size distribution time series.

Jann Paul Mattern, Kristof Glauninger, Gregory L. Britten, John R. Casey, Sangwon Hyun, Zhen Wu, E. Virginia Armbrust, Zaïd Harchaoui, Francois Ribalet

PLoS Comput. Biol., 2022

MAUVE Scores for Generative Models: Theory and Practice.

Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui

CoRR, 2022

Statistical and Computational Guarantees for Influence Diagnostics.

Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui

CoRR, 2022

Stochastic optimization on matrices and a graphon McKean-Vlasov limit.

Zaïd Harchaoui, Sewoong Oh, Soumik Pal, Raghav Somani, Raghavendra Tripathi

CoRR, 2022

Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates.

Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui

CoRR, 2022

Differentiable Programming A La Moreau.

Vincent Roulet, Zaïd Harchaoui

Proceedings of the IEEE International Conference on Acoustics, 2022

Orthogonal Statistical Learning with Self-Concordant Loss.

Lang Liu, Carlos Cinelli, Zaïd Harchaoui

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Entropy Regularized Optimal Transport Independence Criterion.

Lang Liu, Soumik Pal, Zaïd Harchaoui

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates.

Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaïd Harchaoui

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Advances and Open Problems in Federated Learning.

Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

Found. Trends Mach. Learn., 2021

Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach.

Krishna Pillutla, Yassine Laguel, Jérôme Malick, Zaïd Harchaoui

CoRR, 2021

Target Propagation via Regularized Inversion.

Vincent Roulet, Zaïd Harchaoui

CoRR, 2021

Stochastic optimization under time drift: iterate averaging, step decay, and high probability guarantees.

Joshua Cutler, Dmitriy Drusvyatskiy, Zaïd Harchaoui

CoRR, 2021

Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral.

Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui

CoRR, 2021

MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation.

Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui

CoRR, 2021

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers.

Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals.

Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees.

Joshua Cutler, Dmitriy Drusvyatskiy, Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Faster Policy Learning with Continuous-Time Gradients.

Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Score-Based Change Detection For Gradient-Based Learning Machines.

Lang Liu, Joseph Salmon, Zaïd Harchaoui

Proceedings of the IEEE International Conference on Acoustics, 2021

On the Smoothing of Deep Networks.

Vincent Roulet, Zaïd Harchaoui

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

A Superquantile Approach to Federated Learning with Heterogeneous Devices.

Yassine Laguel, Krishna Pillutla, Jérôme Malick, Zaïd Harchaoui

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

A Spectral Analysis of Dot-product Kernels.

Meyer Scetbon, Zaïd Harchaoui

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Risk Bounds for Multi-layer Perceptrons through Spectra of Integral Operators.

Meyer Scetbon, Zaïd Harchaoui

CoRR, 2020

Device Heterogeneity in Federated Learning: A Superquantile Approach.

Yassine Laguel, Krishna Pillutla, Jérôme Malick, Zaïd Harchaoui

CoRR, 2020

First-Order Optimization for Superquantile-Based Supervised Learning.

Yassine Laguel, Jérôme Malick, Zaïd Harchaoui

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

End-to-End Learning for Retrospective Change-Point Estimation.

Corinne Jones, Zaïd Harchaoui

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Harmonic Decompositions of Convolutional Networks.

Meyer Scetbon, Zaïd Harchaoui

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

On the Convergence of the Iterative Linear Exponential Quadratic Gaussian Algorithm to Stationary Points.

Vincent Roulet, Maryam Fazel, Siddhartha S. Srinivasa, Zaïd Harchaoui

Proceedings of the 2020 American Control Conference, 2020

2019

An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration.

Hongzhou Lin, Julien Mairal, Zaïd Harchaoui

SIAM J. Optim., 2019

A Kernel Multiple Change-point Algorithm via Model Selection.

Sylvain Arlot, Alain Celisse, Zaïd Harchaoui

J. Mach. Learn. Res., 2019

Robust Aggregation for Federated Learning.

Venkata Krishna Pillutla, Sham M. Kakade, Zaïd Harchaoui

CoRR, 2019

End-to-end Learning, with or without Labels.

Corinne Jones, Vincent Roulet, Zaïd Harchaoui

CoRR, 2019

Advances and Open Problems in Federated Learning.

Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

CoRR, 2019

Kernel-based Translations of Convolutional Networks.

Corinne Jones, Vincent Roulet, Zaïd Harchaoui

CoRR, 2019

Coupled Recurrent Models for Polyphonic Music Composition.

John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

A Simple Adaptive Tracker with Reminiscences.

Christopher Xie, Emily B. Fox, Zaïd Harchaoui

Proceedings of the International Conference on Robotics and Automation, 2019

Iterative Linearized Control: Stable Algorithms and Complexity Guarantees.

Vincent Roulet, Dmitriy Drusvyatskiy, Siddhartha S. Srinivasa, Zaïd Harchaoui

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

A Statistical Investigation of Long Memory in Language and Music.

Alexander Greaves-Tunnell, Zaïd Harchaoui

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

Object Discovery in Videos as Foreground Motion Clustering.

Christopher Xie, Yu Xiang, Zaïd Harchaoui, Dieter Fox

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks.

Vincent Roulet, Zaïd Harchaoui

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm.

Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui

J. Artif. Intell. Res., 2018

A Smoother Way to Train Structured Prediction Models.

Venkata Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaïd Harchaoui

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

Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract).

Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Efficient First-Order Algorithms for Adaptive Signal Denoising.

Dmitrii Ostrovskii, Zaïd Harchaoui

Proceedings of the 35th International Conference on Machine Learning, 2018

Invariances and Data Augmentation for Supervised Music Transcription.

John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Catalyst for Gradient-based Nonconvex Optimization.

Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy, Julien Mairal, Zaïd Harchaoui

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice.

Hongzhou Lin, Julien Mairal, Zaïd Harchaoui

J. Mach. Learn. Res., 2017

Convolutional Patch Representations for Image Retrieval: An Unsupervised Approach.

Mattis Paulin, Julien Mairal, Matthijs Douze, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid

Int. J. Comput. Vis., 2017

Inferring the Structure of Action Movies.

Danila Potapov, Matthijs Douze, Jérôme Revaud, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the 6th Workshop on Intelligent Cinematography and Editing, 2017

Learning Features of Music From Scratch.

John Thickstun, Zaïd Harchaoui, Sham M. Kakade

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

The group k-support norm for learning with structured sparsity.

Nikhil Rao, Miroslav Dudík, Zaïd Harchaoui

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Label-Embedding for Image Classification.

Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid

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

DeepMatching: Hierarchical Deformable Dense Matching.

Jérôme Revaud, Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid

Int. J. Comput. Vis., 2016

Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm.

Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui

CoRR, 2016

Fast and Simple Optimization for Poisson Likelihood Models.

Niao He, Zaïd Harchaoui, Yichen Wang, Le Song

CoRR, 2016

Structure-Blind Signal Recovery.

Dmitry Ostrovsky, Zaïd Harchaoui, Anatoli B. Juditsky, Arkadi Nemirovski

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

2015

Conditional gradient algorithms for norm-regularized smooth convex optimization.

Zaïd Harchaoui, Anatoli B. Juditsky, Arkadi Nemirovski

Math. Program., 2015

Deep Convolutional Matching.

Jérôme Revaud, Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid

CoRR, 2015

Beat-Event Detection in Action Movie Franchises.

Danila Potapov, Matthijs Douze, Jérôme Revaud, Zaïd Harchaoui, Cordelia Schmid

CoRR, 2015

A Universal Catalyst for First-Order Optimization.

Hongzhou Lin, Julien Mairal, Zaïd Harchaoui

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

Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization.

Niao He, Zaïd Harchaoui

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

Learning to Track for Spatio-Temporal Action Localization.

Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Local Convolutional Features with Unsupervised Training for Image Retrieval.

Mattis Paulin, Matthijs Douze, Zaïd Harchaoui, Julien Mairal, Florent Perronnin, Cordelia Schmid

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning to detect Motion Boundaries.

Philippe Weinzaepfel, Jérôme Revaud, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

EpicFlow: Edge-preserving interpolation of correspondences for optical flow.

Jérôme Revaud, Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Adaptive Recovery of Signals by Convex Optimization.

Zaïd Harchaoui, Anatoli B. Juditsky, Arkadi Nemirovski, Dmitry Ostrovsky

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Good Practice in Large-Scale Learning for Image Classification.

Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Activity representation with motion hierarchies.

Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid

Int. J. Comput. Vis., 2014

One-Bit Object Detection: On learning to localize objects with minimal supervision.

Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell

CoRR, 2014

The INRIA-LIM-VocR and AXES submissions to TrecVid 2014 Multimedia Event Detection.

Matthijs Douze, Dan Oneata, Mattis Paulin, Clément Leray, Nicolas Chesneau, Danila Potapov, Jakob Verbeek, Karteek Alahari, Zaïd Harchaoui, Lori Lamel, Jean-Luc Gauvain, Christoph Schmidt, Cordelia Schmid

Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

Convolutional Kernel Networks.

Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid

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

On learning to localize objects with minimal supervision.

Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell

Proceedings of the 31th International Conference on Machine Learning, 2014

Category-Specific Video Summarization.

Danila Potapov, Matthijs Douze, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the Computer Vision - ECCV 2014, 2014

Transformation Pursuit for Image Classification.

Mattis Paulin, Jérôme Revaud, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Fast and Robust Archetypal Analysis for Representation Learning.

Yuansi Chen, Julien Mairal, Zaïd Harchaoui

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Kernel-Based Methods for Hypothesis Testing: A Unified View.

Zaïd Harchaoui, Francis R. Bach, Olivier Cappé, Eric Moulines

IEEE Signal Process. Mag., 2013

Temporal Localization of Actions with Actoms.

Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Automatic Recognition of Human Activities in Realistic Videos.

Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid

ERCIM News, 2013

The AXES submissions at TRECVID 2013.

Robin Aly, Relja Arandjelovic, Ken Chatfield, Matthijs Douze, Basura Fernando, Zaïd Harchaoui, Kevin McGuinness, Noel E. O'Connor, Dan Oneata, Omkar M. Parkhi, Danila Potapov, Jérôme Revaud, Cordelia Schmid, Jochen Schwenninger, David Scott, Tinne Tuytelaars, Jakob Verbeek, Heng Wang, Andrew Zisserman

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

DeepFlow: Large Displacement Optical Flow with Deep Matching.

Philippe Weinzaepfel, Jérôme Revaud, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the IEEE International Conference on Computer Vision, 2013

Label-Embedding for Attribute-Based Classification.

Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Lifted coordinate descent for learning with trace-norm regularization.

Miroslav Dudík, Zaïd Harchaoui, Jérôme Malick

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

AXES at TRECVID 2012: KIS, INS, and MED.

Robin Aly, Kevin McGuinness, Shu Chen, Noel E. O'Connor, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Basura Fernando, Tinne Tuytelaars, Dan Oneata, Matthijs Douze, Jérôme Revaud, Jochen Schwenninger, Danila Potapov, Heng Wang, Zaïd Harchaoui, Jakob Verbeek, Cordelia Schmid

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Towards good practice in large-scale learning for image classification.

Florent Perronnin, Zeynep Akata, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Large-scale image classification with trace-norm regularization.

Zaïd Harchaoui, Matthijs Douze, Mattis Paulin, Miroslav Dudík, Jérôme Malick

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Recognizing activities with cluster-trees of tracklets.

Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the British Machine Vision Conference, 2012

2011

Actom sequence models for efficient action detection.

Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A time series kernel for action recognition.

Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the British Machine Vision Conference, 2011

2009

A Fast, Consistent Kernel Two-Sample Test.

Arthur Gretton, Kenji Fukumizu, Zaïd Harchaoui, Bharath K. Sriperumbudur

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A regularized kernel-based approach to unsupervised audio segmentation.

Zaïd Harchaoui, Félicien Vallet, Alexandre Lung-Yut-Fong, Olivier Cappé

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Kernel Change-point Analysis.

Zaïd Harchaoui, Francis R. Bach, Eric Moulines

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Catching Change-points with Lasso.

Zaïd Harchaoui, Céline Lévy-Leduc

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Testing for Homogeneity with Kernel Fisher Discriminant Analysis.

Zaïd Harchaoui, Francis R. Bach, Eric Moulines

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

DIFFRAC: a discriminative and flexible framework for clustering.

Francis R. Bach, Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Image Classification with Segmentation Graph Kernels.

Zaïd Harchaoui, Francis R. Bach

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2004

A Machine Learning Approach to Conjoint Analysis.

Olivier Chapelle, Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004