Edouard Grave

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 89

Top Venues

CoRR

ICLR

ACL (1)

LREC

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li
Time Sensitive Knowledge Editing through Efficient Finetuning. CoRR (2024)
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample
LLaMA: Open and Efficient Foundation Language Models. CoRR (2023)
Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
Augmented Language Models: a Survey. CoRR (2023)
Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
Augmented Language Models: a Survey. Trans. Mach. Learn. Res. 2023 (2023)
Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. 24 (2023)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5 (10) (2023)
Giovanni Monea, Armand Joulin, Edouard Grave
PaSS: Parallel Speculative Sampling. CoRR (2023)
Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. ICLR (2023)
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Jacob Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
Flashlight: Enabling Innovation in Tools for Machine Learning. CoRR (2022)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia Verifiability with AI. CoRR (2022)
Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Few-shot Learning with Retrieval Augmented Language Models. CoRR (2022)
Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR (2022)
Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. CoRR (2022)
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. 2022 (2022)
Jacob D. Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
Flashlight: Enabling Innovation in Tools for Machine Learning. ICML (2022)
Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin, Angela Fan
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web. ACL/IJCNLP (1) (2021)
Gautier Izacard, Edouard Grave
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. EACL (2021)
Gautier Izacard, Edouard Grave
Distilling Knowledge from Reader to Retriever for Question Answering. ICLR (2021)
Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau
Self-training Improves Pre-training for Natural Language Understanding. NAACL-HLT (2021)
Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron, Ivan Laptev, Hervé Jégou, Edouard Grave
Are Large-scale Datasets Necessary for Self-Supervised Pre-training? CoRR (2021)
Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
Training with Quantization Noise for Extreme Model Compression. ICLR (2021)
Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR (2021)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
ResMLP: Feedforward networks for image classification with data-efficient training. CoRR (2021)
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR (2021)
Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
Training with Quantization Noise for Extreme Model Compression. CoRR (2020)
Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, Armand Joulin
Beyond English-Centric Multilingual Machine Translation. CoRR (2020)
Gautier Izacard, Edouard Grave
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. CoRR (2020)
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. LREC (2020)
Angela Fan, Thibaut Lavril, Edouard Grave, Armand Joulin, Sainbayar Sukhbaatar
Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. CoRR (2020)
Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave
A Memory Efficient Baseline for Open Domain Question Answering. CoRR (2020)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Angela Fan, Edouard Grave, Armand Joulin
Reducing Transformer Depth on Demand with Structured Dropout. ICLR (2020)
Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Ves Stoyanov, Alexis Conneau
Self-training Improves Pre-training for Natural Language Understanding. CoRR (2020)
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov
Unsupervised Cross-lingual Representation Learning at Scale. ACL (2020)
Gautier Izacard, Edouard Grave
Distilling Knowledge from Reader to Retriever for Question Answering. CoRR (2020)
Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli
Depth-Adaptive Transformer. ICLR (2020)
Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin
Unsupervised Hyper-alignment for Multilingual Word Embeddings. ICLR (Poster) (2019)
Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri
Misspelling Oblivious Word Embeddings. NAACL-HLT (1) (2019)
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin
Adaptive Attention Span in Transformers. ACL (1) (2019)
Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. ACL (1) (2019)
Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin
Augmenting Self-attention with Persistent Memory. CoRR (2019)
Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin
Training Hybrid Language Models by Marginalizing over Segmentations. ACL (1) (2019)
Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri
Misspelling Oblivious Word Embeddings. CoRR (2019)
Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. CoRR (2019)
Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB. CoRR (2019)
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov
Unsupervised Cross-lingual Representation Learning at Scale. CoRR (2019)
Angela Fan, Edouard Grave, Armand Joulin
Reducing Transformer Depth on Demand with Structured Dropout. CoRR (2019)
Piotr Bojanowski, Onur Celebi, Tomás Mikolov, Edouard Grave, Armand Joulin
Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment. CoRR (2019)
Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann A. Copestake
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. CoRR (2019)
Edouard Grave, Armand Joulin, Quentin Berthet
Unsupervised Alignment of Embeddings with Wasserstein Procrustes. AISTATS (2019)
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. CoRR (2019)
Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann A. Copestake
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. EMNLP/IJCNLP (1) (2019)
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin
Adaptive Attention Span in Transformers. CoRR (2019)
Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli
Depth-Adaptive Transformer. CoRR (2019)
Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni
Colorless Green Recurrent Networks Dream Hierarchically. NAACL-HLT (2018)
Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. CoRR (2018)
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
Learning Word Vectors for 157 Languages. CoRR (2018)
Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni
Colorless green recurrent networks dream hierarchically. CoRR (2018)
Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
Efficient Large-Scale Multi-Modal Classification. CoRR (2018)
Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Hervé Jégou, Edouard Grave
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. EMNLP (2018)
Edouard Grave, Armand Joulin, Quentin Berthet
Unsupervised Alignment of Embeddings with Wasserstein Procrustes. CoRR (2018)
Jean Alaux, Edouard Grave, Marco Cuturi, Armand Joulin
Unsupervised Hyperalignment for Multilingual Word Embeddings. CoRR (2018)
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomás Mikolov
Learning Word Vectors for 157 Languages. LREC (2018)
Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
Advances in Pre-Training Distributed Word Representations. LREC (2018)
Douwe Kiela, Edouard Grave, Armand Joulin, Tomás Mikolov
Efficient Large-Scale Multi-Modal Classification. AAAI (2018)
Anton Bakhtin, Arthur Szlam, Marc'Aurelio Ranzato, Edouard Grave
Lightweight Adaptive Mixture of Neural and N-gram Language Models. CoRR (2018)
Armand Joulin, Piotr Bojanowski, Tomás Mikolov, Edouard Grave
Improving Supervised Bilingual Mapping of Word Embeddings. CoRR (2018)
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguistics 5 (2017)
Tomás Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin
Advances in Pre-Training Distributed Word Representations. CoRR (2017)
Edouard Grave, Moustapha Cissé, Armand Joulin
Unbounded cache model for online language modeling with open vocabulary. NIPS (2017)
Shaodian Zhang, Edouard Grave, Elizabeth Sklar, Noémie Elhadad
Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks. J. Biomed. Informatics 69 (2017)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
Fast Linear Model for Knowledge Graph Embeddings. AKBC@NIPS (2017)
Edouard Grave, Moustapha Cissé, Armand Joulin
Unbounded cache model for online language modeling with open vocabulary. CoRR (2017)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Maximilian Nickel, Tomás Mikolov
Fast Linear Model for Knowledge Graph Embeddings. CoRR (2017)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
Bag of Tricks for Efficient Text Classification. EACL (2) (2017)
Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov
Variable Computation in Recurrent Neural Networks. ICLR (Poster) (2017)
Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou
Efficient softmax approximation for GPUs. ICML (2017)
Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier
Parseval Networks: Improving Robustness to Adversarial Examples. ICML (2017)
Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier
Parseval Networks: Improving Robustness to Adversarial Examples. CoRR (2017)
Edouard Grave, Armand Joulin, Nicolas Usunier
Improving Neural Language Models with a Continuous Cache. ICLR (Poster) (2017)
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomás Mikolov
Enriching Word Vectors with Subword Information. CoRR (2016)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hervé Jégou, Tomás Mikolov
FastText.zip: Compressing text classification models. CoRR (2016)
Edouard Grave, Armand Joulin, Nicolas Usunier
Improving Neural Language Models with a Continuous Cache. CoRR (2016)
Shaodian Zhang, Edouard Grave, Elizabeth Sklar, Noemie Elhadad
Longitudinal Analysis of Discussion Topics in an Online Breast Cancer Community using Convolutional Neural Networks. CoRR (2016)
Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou
Efficient softmax approximation for GPUs. CoRR (2016)
Yacine Jernite, Edouard Grave, Armand Joulin, Tomás Mikolov
Variable Computation in Recurrent Neural Networks. CoRR (2016)
Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomás Mikolov
Bag of Tricks for Efficient Text Classification. CoRR (2016)
Rimma Pivovarov, Adler J. Perotte, Edouard Grave, John Angiolillo, Chris H. Wiggins, Noémie Elhadad
Learning probabilistic phenotypes from heterogeneous EHR data. J. Biomed. Informatics 58 (2015)
Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid
Weakly-Supervised Alignment of Video with Text. ICCV (2015)
Edouard Grave, Noémie Elhadad
A convex and feature-rich discriminative approach to dependency grammar induction. ACL (1) (2015)
Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid
Weakly-Supervised Alignment of Video With Text. CoRR (2015)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
A Markovian approach to distributional semantics with application to semantic compositionality. COLING (2014)
Edouard Grave
A convex relaxation for weakly supervised relation extraction. EMNLP (2014)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
Domain adaptation for sequence labeling using hidden Markov models. CoRR (2013)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
Hidden Markov tree models for semantic class induction. CoNLL (2013)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
Trace Lasso: a trace norm regularization for correlated designs. NIPS (2011)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
Trace Lasso: a trace norm regularization for correlated designs CoRR (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Edouard Grave