Elvis Dohmatob

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 43

Top Venues

CoRR

ICLR

ICML

AISTATS

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
Scaling Laws for Associative Memories. ICLR (2024)
Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement. CoRR (2024)
Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe
A Tale of Tails: Model Collapse as a Change of Scaling Laws. CoRR (2024)
Elvis Dohmatob, Yunzhen Feng, Julia Kempe
Model Collapse Demystified: The Case of Regression. CoRR (2024)
Meyer Scetbon, Elvis Dohmatob
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. CoRR (2023)
Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier
Contextual bandits with concave rewards, and an application to fair ranking. ICLR (2023)
Meyer Scetbon, Elvis Dohmatob
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. AISTATS (2023)
Elvis Dohmatob, Chuan Guo, Morgane Goibert
Origins of Low-Dimensional Adversarial Perturbations. AISTATS (2023)
Elvis Dohmatob, Meyer Scetbon
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms. CoRR (2023)
Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
Scaling Laws for Associative Memories. CoRR (2023)
Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier
Contextual bandits with concave rewards, and an application to fair ranking. CoRR (2022)
Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. CoRR (2022)
Morgane Goibert, Thomas Ricatte, Elvis Dohmatob
An Adversarial Robustness Perspective on the Topology of Neural Networks. CoRR (2022)
Nicolas Usunier, Virginie Do, Elvis Dohmatob
Fast online ranking with fairness of exposure. FAccT (2022)
Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. ICML (2022)
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
Scalable Sampling for Nonsymmetric Determinantal Point Processes. ICLR (2022)
Elvis Dohmatob, Alberto Bietti
On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes. CoRR (2022)
Nicolas Usunier, Virginie Do, Elvis Dohmatob
Fast online ranking with fairness of exposure. CoRR (2022)
Elvis Dohmatob, Chuan Guo, Morgane Goibert
Origins of Low-dimensional Adversarial Perturbations. CoRR (2022)
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
Scalable Sampling for Nonsymmetric Determinantal Point Processes. CoRR (2022)
Elvis Dohmatob, Hugo Richard, Ana Luísa Pinho, Bertrand Thirion
Brain topography beyond parcellations: Local gradients of functional maps. NeuroImage 229 (2021)
Elvis Dohmatob
Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes. CoRR (2021)
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. ICLR (2021)
Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile
Distributionally Robust Counterfactual Risk Minimization. AAAI (2020)
Elvis Dohmatob
Universal Lower-Bounds on Classification Error under Adversarial Attacks and Random Corruption. CoRR (2020)
Elena Smirnova, Elvis Dohmatob
On the Convergence of Smooth Regularized Approximate Value Iteration Schemes. NeurIPS (2020)
Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary
Learning disconnected manifolds: a no GANs land. CoRR (2020)
Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary
Learning disconnected manifolds: a no GAN's land. ICML (2020)
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. CoRR (2020)
Elvis Dohmatob
Implicit bias of any algorithm: bounding bias via margin. CoRR (2020)
Louis Faury, Ugo Tanielian, Flavian Vasile, Elena Smirnova, Elvis Dohmatob
Distributionally Robust Counterfactual Risk Minimization. CoRR (2019)
Morgane Goibert, Elvis Dohmatob
Adversarial Robustness via Adversarial Label-Smoothing. CoRR (2019)
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
Learning Nonsymmetric Determinantal Point Processes. NeurIPS (2019)
Elvis Dohmatob
Generalized No Free Lunch Theorem for Adversarial Robustness. ICML (2019)
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
Learning Nonsymmetric Determinantal Point Processes. CoRR (2019)
Elena Smirnova, Elvis Dohmatob, Jérémie Mary
Distributionally Robust Reinforcement Learning. CoRR (2019)
Elena Smirnova, Elvis Dohmatob
On the Convergence of Approximate and Regularized Policy Iteration Schemes. CoRR (2019)
Fouad Hadj-Selem, Tommy Löfstedt, Elvis Dohmatob, Vincent Frouin, Mathieu Dubois, Vincent Guillemot, Edouard Duchesnay
Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging. IEEE Trans. Medical Imaging 37 (11) (2018)
Elvis Dohmatob
Limitations of adversarial robustness: strong No Free Lunch Theorem. CoRR (2018)
Mike Gartrell, Elvis Dohmatob
Deep Determinantal Point Processes. CoRR (2018)
Hubert Pelle, Philippe Ciuciu, Mehdi Rahim, Elvis Dohmatob, Patrice Abry, Virginie van Wassenhove
Multivariate hurst exponent estimation in FMRI. Application to brain decoding of perceptual learning. ISBI (2016)
Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux
Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems. ICASSP (2016)
Elvis Dohmatob, Arthur Mensch, Gaël Varoquaux, Bertrand Thirion
Learning brain regions via large-scale online structured sparse dictionary learning. NIPS (2016)
Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux
Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening. PRNI (2015)
Elvis Dohmatob
A simple and efficient algorithm for computing approximate Nash equilibria in two-person zero-sum sequential games with imcomplete information. CoRR (2015)
Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, Claude Comtat, Gaël Varoquaux
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease. MICCAI (1) (2015)
Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion, Gaël Varoquaux
Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties. MICCAI (1) (2015)
Gaël Varoquaux, Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion
FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging. CoRR (2015)
Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI. CoRR (2014)
Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux
Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning. MICCAI (2) (2013)

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Publication Activity (10 Years)

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Elvis Dohmatob