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


Feb 02, 2021
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaid Harchaoui


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Differentiable Programming à la Moreau


Dec 31, 2020
Vincent Roulet, Zaid Harchaoui


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Faster Policy Learning with Continuous-Time Gradients


Dec 12, 2020
Samuel Ainsworth, Kendall Lowrey, John Thickstun, Zaid Harchaoui, Siddhartha Srinivasa


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Asymptotics of Entropy-Regularized Optimal Transport via Chaos Decomposition


Nov 17, 2020
Zaid Harchaoui, Lang Liu, Soumik Pal


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First-order Optimization for Superquantile-based Supervised Learning


Oct 01, 2020
Yassine Laguel, Jérôme Malick, Zaid Harchaoui

* 6 pages, 2 figures, 2 tables, presented at IEEE MLSP 

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Harmonic Decompositions of Convolutional Networks


Mar 28, 2020
Meyer Scetbon, Zaid Harchaoui


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


Feb 28, 2020
Meyer Scetbon, Zaid Harchaoui


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Device Heterogeneity in Federated Learning: A Superquantile Approach


Feb 25, 2020
Yassine Laguel, Krishna Pillutla, Jérôme Malick, Zaid Harchaoui


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


Feb 20, 2020
Vincent Roulet, Zaid Harchaoui

* Short version appeared in the proceedings of the 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton 2019) 

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Robust Aggregation for Federated Learning


Dec 31, 2019
Krishna Pillutla, Sham M. Kakade, Zaid Harchaoui


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End-to-end Learning, with or without Labels


Dec 30, 2019
Corinne Jones, Vincent Roulet, Zaid Harchaoui


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Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith 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, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, 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


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A Statistical Investigation of Long Memory in Language and Music


Apr 08, 2019
Alexander Greaves-Tunnell, Zaid Harchaoui


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Kernel-based Translations of Convolutional Networks


Mar 19, 2019
Corinne Jones, Vincent Roulet, Zaid Harchaoui


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A Smoother Way to Train Structured Prediction Models


Feb 08, 2019
Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaid Harchaoui

* Short version appeared in Neural Information Processing Systems (NeurIPS) 2018 

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Object Discovery in Videos as Foreground Motion Clustering


Dec 06, 2018
Christopher Xie, Yu Xiang, Dieter Fox, Zaid Harchaoui


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Coupled Recurrent Models for Polyphonic Music Composition


Nov 20, 2018
John Thickstun, Zaid Harchaoui, Dean P. Foster, Sham M. Kakade

* 12 pages 

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


Jul 20, 2018
Hongzhou Lin, Julien Mairal, Zaid Harchaoui


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


Jun 19, 2018
Hongzhou Lin, Julien Mairal, Zaid Harchaoui

* Journal of Machine Learning Research (JMLR), 18(212):1--54, 2018 
* link to publisher website: http://jmlr.org/papers/volume18/17-748/17-748.pdf 

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Efficient First-Order Algorithms for Adaptive Signal Denoising


Jun 12, 2018
Dmitrii Ostrovskii, Zaid Harchaoui

* 27 pages, 5 figures 

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Adaptive Denoising of Signals with Shift-Invariant Structure


Jun 11, 2018
Dmitrii Ostrovskii, Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski


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Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm


Jan 25, 2018
Yury Maximov, Massih-Reza Amini, Zaid Harchaoui

* 26 pages, 6 figures 

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Invariances and Data Augmentation for Supervised Music Transcription


Nov 13, 2017
John Thickstun, Zaid Harchaoui, Dean Foster, Sham M. Kakade

* 6 pages 

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Catalyst Acceleration for Gradient-Based Non-Convex Optimization


Jun 09, 2017
Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy, Julien Mairal, Zaid Harchaoui


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Learning Features of Music from Scratch


Apr 06, 2017
John Thickstun, Zaid Harchaoui, Sham Kakade

* 14 pages; camera-ready version; updated experiments and related works; additional MIR metrics (Appendix C) 

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Fast and Simple Optimization for Poisson Likelihood Models


Aug 03, 2016
Niao He, Zaid Harchaoui, Yichen Wang, Le Song


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Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach


Mar 01, 2016
Mattis Paulin, Julien Mairal, Matthijs Douze, Zaid Harchaoui, Florent Perronnin, Cordelia Schmid


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DeepMatching: Hierarchical Deformable Dense Matching


Oct 08, 2015
Jerome Revaud, Philippe Weinzaepfel, Zaid Harchaoui, Cordelia Schmid


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Label-Embedding for Image Classification


Oct 01, 2015
Zeynep Akata, Florent Perronnin, Zaid Harchaoui, Cordelia Schmid

* IEEE TPAMI preprint 

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Learning to track for spatio-temporal action localization


Sep 27, 2015
Philippe Weinzaepfel, Zaid Harchaoui, Cordelia Schmid


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