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- Elvis Dohmatob
aka: Elvis Dopgima Dohmatob
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Publication search results
found 55 matches
- 2024
- Vivien Cabannes, Elvis Dohmatob, Alberto Bietti:
Scaling Laws for Associative Memories. ICLR 2024 - Elvis Dohmatob:
Consistent Adversarially Robust Linear Classification: Non-Parametric Setting. ICML 2024 - Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe:
A Tale of Tails: Model Collapse as a Change of Scaling Laws. ICML 2024 - Elvis Dohmatob, Meyer Scetbon:
Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms. ICML 2024 - Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe:
A Tale of Tails: Model Collapse as a Change of Scaling Laws. CoRR abs/2402.07043 (2024) - Elvis Dohmatob, Yunzhen Feng, Julia Kempe:
Model Collapse Demystified: The Case of Regression. CoRR abs/2402.07712 (2024) - Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe:
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement. CoRR abs/2406.07515 (2024) - 2023
- Elvis Dohmatob, Chuan Guo, Morgane Goibert:
Origins of Low-Dimensional Adversarial Perturbations. AISTATS 2023: 9221-9237 - Meyer Scetbon, Elvis Dohmatob:
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. AISTATS 2023: 11583-11607 - 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. CoRR abs/2301.13486 (2023) - Elvis Dohmatob, Meyer Scetbon:
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms. CoRR abs/2308.00556 (2023) - Vivien Cabannes, Elvis Dohmatob, Alberto Bietti:
Scaling Laws for Associative Memories. CoRR abs/2310.02984 (2023) - 2022
- Nicolas Usunier, Virginie Do, Elvis Dohmatob:
Fast online ranking with fairness of exposure. FAccT 2022: 2157-2167 - Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi:
Scalable Sampling for Nonsymmetric Determinantal Point Processes. ICLR 2022 - Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi:
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. ICML 2022: 8213-8229 - Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi:
Scalable Sampling for Nonsymmetric Determinantal Point Processes. CoRR abs/2201.08417 (2022) - Elvis Dohmatob, Alberto Bietti:
On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes. CoRR abs/2203.11864 (2022) - Elvis Dohmatob, Chuan Guo, Morgane Goibert:
Origins of Low-dimensional Adversarial Perturbations. CoRR abs/2203.13779 (2022) - Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi:
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. CoRR abs/2207.00486 (2022) - Nicolas Usunier, Virginie Do, Elvis Dohmatob:
Fast online ranking with fairness of exposure. CoRR abs/2209.13019 (2022) - Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier:
Contextual bandits with concave rewards, and an application to fair ranking. CoRR abs/2210.09957 (2022) - Morgane Goibert, Thomas Ricatte, Elvis Dohmatob:
An Adversarial Robustness Perspective on the Topology of Neural Networks. CoRR abs/2211.02675 (2022) - 2021
- Elvis Dohmatob, Hugo Richard, Ana Luísa Pinho, Bertrand Thirion:
Brain topography beyond parcellations: Local gradients of functional maps. NeuroImage 229: 117706 (2021) - Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel:
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. ICLR 2021 - Elvis Dohmatob:
Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes. CoRR abs/2106.02630 (2021) - 2020
- Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile:
Distributionally Robust Counterfactual Risk Minimization. AAAI 2020: 3850-3857 - Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary:
Learning disconnected manifolds: a no GAN's land. ICML 2020: 9418-9427 - 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 abs/2006.04596 (2020)
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