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Haddouche, Maxime
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1

PAC-Bayes Unleashed: Generalisation Bounds with Unbounded L..:

Haddouche, Maxime ; Guedj, Benjamin ; Rivasplata, Omar.
Entropy.  23 (2021)  10 - p. 1330 , 2021
Link: https://doi.org/10.3390/..
 
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2

A PAC-Bayesian Link Between Generalisation and Flat Minima:

Haddouche, Maxime ; Viallard, Paul ; Şimşekli, Umut.
info:eu-repo/grantAgreement//101039676/EU/Dynamics-Aware Theory of Deep Learning/DYNASTY.  , 2024
Link: https://hal.science/hal-..
 
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3

Upper and Lower Bounds on the Performance of Kernel PCA:

Haddouche, Maxime ; Guedj, Benjamin ; Rivasplata, Omar.
http://hdl.handle.net/20.500.12210/99042.  , 2024
Link: https://hdl.handle.net/2..
 
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4

Online PAC-Bayes Learning:

Haddouche, Maxime ; Guedj, Benjamin
http://hdl.handle.net/20.500.12210/98741.  , 2024
Link: https://hdl.handle.net/2..
 
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5

A PAC-Bayesian Link Between Generalisation and Flat Minima:

Haddouche, Maxime ; Viallard, Paul ; Şimşekli, Umut.
info:eu-repo/grantAgreement//101039676/EU/Dynamics-Aware Theory of Deep Learning/DYNASTY.  , 2024
Link: https://hal.science/hal-..
 
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6

Wasserstein PAC-Bayes Learning: Exploiting Optimisation Gua..:

Haddouche, Maxime ; Guedj, Benjamin
info:eu-repo/semantics/altIdentifier/arxiv/2304.07048.  , 2023
Link: https://inria.hal.scienc..
 
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7

Learning via Wasserstein-Based High Probability Generalisat..:

Viallard, Paul ; Haddouche, Maxime ; Şimşekli, Umut.
10.48550/arXiv.2306.04375.  , 2023
Link: https://hdl.handle.net/2..
 
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8

PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses thr..:

Haddouche, Maxime ; Guedj, Benjamin
info:eu-repo/semantics/altIdentifier/arxiv/2210.00928.  , 2023
Link: https://inria.hal.scienc..
 
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9

PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses thr..:

Haddouche, Maxime ; Guedj, Benjamin
info:eu-repo/semantics/altIdentifier/arxiv/2210.00928.  , 2023
Link: https://inria.hal.scienc..
 
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10

Optimistic Dynamic Regret Bounds:

Haddouche, Maxime ; Guedj, Benjamin ; Wintenberger, Olivier
http://arxiv.org/abs/2301.07530.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Federated Learning with Nonvacuous Generalisation Bounds:

Jobic, Pierre ; Haddouche, Maxime ; Guedj, Benjamin
info:eu-repo/semantics/altIdentifier/arxiv/2310.11203.  , 2023
Link: https://inria.hal.scienc..
 
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12

Wasserstein PAC-Bayes Learning: Exploiting Optimisation Gua..:

Haddouche, Maxime ; Guedj, Benjamin
info:eu-repo/semantics/altIdentifier/arxiv/2304.07048.  , 2023
Link: https://inria.hal.scienc..
 
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13

Learning via Wasserstein-Based High Probability Generalisat..:

Viallard, Paul ; Haddouche, Maxime ; Şimşekli, Umut.
info:eu-repo/grantAgreement//101039676/EU/Dynamics-Aware Theory of Deep Learning/DYNASTY.  , 2023
Link: https://hal.science/hal-..
 
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14

Wasserstein PAC-Bayes Learning: Exploiting Optimisation Gua..:

Haddouche, Maxime ; Guedj, Benjamin
http://arxiv.org/abs/2304.07048.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses thr..:

Haddouche, Maxime ; Guedj, Benjamin
info:eu-repo/semantics/altIdentifier/arxiv/2210.00928.  , 2023
Link: https://inria.hal.scienc..
 
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