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Ayoub El Hanchi
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 7
Top Topics
Linear Regression
Empirical Risk Minimization
Loss Function
Computationally Tractable
Top Venues
CoRR
NeurIPS
ICML
ICLR
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Publications
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Daniel D. Johnson
,
Ayoub El Hanchi
,
Chris J. Maddison
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions.
ICLR
(2023)
Ayoub El Hanchi
,
Murat A. Erdogdu
Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression.
NeurIPS
(2023)
Daniel D. Johnson
,
Ayoub El Hanchi
,
Chris J. Maddison
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions.
CoRR
(2022)
Ayoub El Hanchi
,
David A. Stephens
,
Chris J. Maddison
Stochastic Reweighted Gradient Descent.
ICML
(2022)
Ayoub El Hanchi
,
David A. Stephens
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes.
CoRR
(2021)
Ayoub El Hanchi
,
David A. Stephens
Stochastic Reweighted Gradient Descent.
CoRR
(2021)
Ayoub El Hanchi
,
David A. Stephens
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes.
NeurIPS
(2020)