Zaïd Harchaoui

Krishna Pillutla

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Rao, Wald, And Likelihood-Ratio Tests under Generalized Self-Concordance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Target Propagation via Regularized Inversion for Recurrent Neural Networks.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

MAUVE Scores for Generative Models: Theory and Practice.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Stochastic Optimization under Distributional Drift.

[BibT_eX]

[DOI]

Joshua Cutler

J. Mach. Learn. Res., 2023

Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods.

[BibT_eX]

[DOI]

J. Comput. Graph. Stat., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Modified Gauss-Newton Algorithms under Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Faith and Fate: Limits of Transformers on Compositionality.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Influence Diagnostics under Self-concordance.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

Yassine Laguel

Jérôme Malick

J. Signal Process. Syst., 2022

Robust Aggregation for Federated Learning.

[BibT_eX]

[DOI]

Krishna Pillutla

IEEE Trans. Signal Process., 2022

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

[BibT_eX]

[DOI]

Stat. Comput., 2022

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

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2022

Statistical and Computational Guarantees for Influence Diagnostics.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Maryam Fazel

CoRR, 2022

Differentiable Programming A La Moreau.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Orthogonal Statistical Learning with Self-Concordant Loss.

[BibT_eX]

[DOI]

Carlos Cinelli

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

Entropy Regularized Optimal Transport Independence Criterion.

[BibT_eX]

[DOI]

Soumik Pal

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

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

[BibT_eX]

[DOI]

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

2021

Advances and Open Problems in Federated Learning.

[BibT_eX]

[DOI]

Rafael G. L. D'Oliveira

Ananda Theertha Suresh

Found. Trends Mach. Learn., 2021

Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach.

[BibT_eX]

[DOI]

CoRR, 2021

Target Propagation via Regularized Inversion.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Joshua Cutler

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Joshua Cutler

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Joseph Salmon

Proceedings of the IEEE International Conference on Acoustics, 2021

On the Smoothing of Deep Networks.

[BibT_eX]

[DOI]

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

A Superquantile Approach to Federated Learning with Heterogeneous Devices.

[BibT_eX]

[DOI]

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

A Spectral Analysis of Dot-product Kernels.

[BibT_eX]

[DOI]

Meyer Scetbon

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

2020

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

[BibT_eX]

[DOI]

Meyer Scetbon

CoRR, 2020

Device Heterogeneity in Federated Learning: A Superquantile Approach.

[BibT_eX]

[DOI]

CoRR, 2020

First-Order Optimization for Superquantile-Based Supervised Learning.

[BibT_eX]

[DOI]

Yassine Laguel

Jérôme Malick

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

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

[BibT_eX]

[DOI]

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

Harmonic Decompositions of Convolutional Networks.

[BibT_eX]

[DOI]

Meyer Scetbon

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

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

[BibT_eX]

[DOI]

Maryam Fazel

Proceedings of the 2020 American Control Conference, 2020

2019

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

[BibT_eX]

[DOI]

Hongzhou Lin

SIAM J. Optim., 2019

A Kernel Multiple Change-point Algorithm via Model Selection.

[BibT_eX]

[DOI]

Sylvain Arlot

Alain Celisse

J. Mach. Learn. Res., 2019

Robust Aggregation for Federated Learning.

[BibT_eX]

[DOI]

Venkata Krishna Pillutla

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Advances and Open Problems in Federated Learning.

[BibT_eX]

[DOI]

Rafael G. L. D'Oliveira

Ananda Theertha Suresh

CoRR, 2019

Kernel-based Translations of Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Coupled Recurrent Models for Polyphonic Music Composition.

[BibT_eX]

[DOI]

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

A Simple Adaptive Tracker with Reminiscences.

[BibT_eX]

[DOI]

Christopher Xie

Emily B. Fox

Proceedings of the International Conference on Robotics and Automation, 2019

Iterative Linearized Control: Stable Algorithms and Complexity Guarantees.

[BibT_eX]

[DOI]

Alexander Greaves-Tunnell

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

A Statistical Investigation of Long Memory in Language and Music.

[BibT_eX]

[DOI]

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

Object Discovery in Videos as Foreground Motion Clustering.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2018

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

[BibT_eX]

[DOI]

Yury Maximov

Massih-Reza Amini

J. Artif. Intell. Res., 2018

A Smoother Way to Train Structured Prediction Models.

[BibT_eX]

[DOI]

Venkata Krishna Pillutla

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).

[BibT_eX]

[DOI]

Yury Maximov

Massih-Reza Amini

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

Efficient First-Order Algorithms for Adaptive Signal Denoising.

[BibT_eX]

[DOI]

Dmitrii Ostrovskii

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

Invariances and Data Augmentation for Supervised Music Transcription.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Catalyst for Gradient-based Nonconvex Optimization.

[BibT_eX]

[DOI]

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

2017

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

[BibT_eX]

[DOI]

Hongzhou Lin

J. Mach. Learn. Res., 2017

Convolutional Patch Representations for Image Retrieval: An Unsupervised Approach.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2017

Inferring the Structure of Action Movies.

[BibT_eX]

[DOI]

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

Learning Features of Music From Scratch.

[BibT_eX]

[DOI]

John Thickstun

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

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

[BibT_eX]

[DOI]

Nikhil Rao

Miroslav Dudík

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Label-Embedding for Image Classification.

[BibT_eX]

[DOI]

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

DeepMatching: Hierarchical Deformable Dense Matching.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2016

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

[BibT_eX]

[DOI]

Yury Maximov

Massih-Reza Amini

CoRR, 2016

Fast and Simple Optimization for Poisson Likelihood Models.

[BibT_eX]

[DOI]

CoRR, 2016

Structure-Blind Signal Recovery.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Anatoli B. Juditsky

Arkadi Nemirovski

Math. Program., 2015

Deep Convolutional Matching.

[BibT_eX]

[DOI]

CoRR, 2015

Beat-Event Detection in Action Movie Franchises.

[BibT_eX]

[DOI]

CoRR, 2015

A Universal Catalyst for First-Order Optimization.

[BibT_eX]

[DOI]

Hongzhou Lin

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.

[BibT_eX]

[DOI]

Niao He

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.

[BibT_eX]

[DOI]

Philippe Weinzaepfel

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

Local Convolutional Features with Unsupervised Training for Image Retrieval.

[BibT_eX]

[DOI]

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

Learning to detect Motion Boundaries.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Adaptive Recovery of Signals by Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Good Practice in Large-Scale Learning for Image Classification.

[BibT_eX]

[DOI]

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

Activity representation with motion hierarchies.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

Convolutional Kernel Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Category-Specific Video Summarization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Transformation Pursuit for Image Classification.

[BibT_eX]

[DOI]

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

Fast and Robust Archetypal Analysis for Representation Learning.

[BibT_eX]

[DOI]

Yuansi Chen

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

2013

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

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2013

Temporal Localization of Actions with Actoms.

[BibT_eX]

[DOI]

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

Automatic Recognition of Human Activities in Realistic Videos.

[BibT_eX]

[DOI]

ERCIM News, 2013

The AXES submissions at TRECVID 2013.

[BibT_eX]

[DOI]

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

DeepFlow: Large Displacement Optical Flow with Deep Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Label-Embedding for Attribute-Based Classification.

[BibT_eX]

[DOI]

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

2012

Lifted coordinate descent for learning with trace-norm regularization.

[BibT_eX]

[DOI]

Miroslav Dudík

Jérôme Malick

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

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

[BibT_eX]

[DOI]

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

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

[BibT_eX]

[DOI]

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

Large-scale image classification with trace-norm regularization.

[BibT_eX]

[DOI]

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

Recognizing activities with cluster-trees of tracklets.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2012

2011

Actom sequence models for efficient action detection.

[BibT_eX]

[DOI]

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

A time series kernel for action recognition.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2011

2009

A Fast, Consistent Kernel Two-Sample Test.

[BibT_eX]

[DOI]

Arthur Gretton

Kenji Fukumizu

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.

[BibT_eX]

[DOI]