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Quentin BERTRAND - Research
Papers
2021
Q. Bertrand, M. Massias,
Anderson acceleration of coordinate descent,
AISTATS 2021,
code,
doc
Q. Klopfenstein*, Q. Bertrand*, A. Gramfort, J. Salmon, S. Vaiter, Model identification and local linear convergence of coordinate descent, Submitted
2020
Q. Bertrand*, Q. Klopfenstein*, M. Blondel, S. Vaiter, A. Gramfort, J. Salmon,
Implicit differentiation of Lasso-type models for hyperparameter optimization,
ICML 2020,
proc.,
code,
doc
M. Massias*, Q. Bertrand*, A. Gramfort, J. Salmon,
Support recovery and sup-norm convergence rates for sparse pivotal estimation,
AISTATS 2020,
proc.
Slides
Optimization for machine learning, “Hands on”,
04/01/2021, Data science summer school of École polytechnique, France.
Implicit differentiation of Lasso-type models for hyperparameter optimization,
09/09/2020, SMAI MODE 2020, France.
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso,
18/10/2019, GDR MOA 2019, France.
Reviewing service
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