Asma Atamna

发表

Analysis of Randomized Adaptive Algorithms for Black-Box Continuous Constrained Optimization. (Analyse d'algorithmes stochastiques adaptatifs pour l'optimisation numérique boîte-noire avec contraintes)

Asma Atamna, Asma Atamna, 2017 .

How to Assess Step-Size Adaptation Mechanisms in Randomised Search

Anne Auger, Asma Atamna, Nikolaus Hansen, 2014, PPSN.

Benchmarking IPOP-CMA-ES-TPA and IPOP-CMA-ES-MSR on the BBOB Noiseless Testbed

Asma Atamna, Asma Atamna, 2015, GECCO.

Convex optimization with an interpolation-based projection and its application to deep learning pdf

Asma Atamna, Jan Peters, Riad Akrour, 2020, Machine Learning.

New Results - Continuous Optimization

Michèle Sebag, Olivier Teytaud, Anne Auger, 2013 .

Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint

Anne Auger, Asma Atamna, Nikolaus Hansen, 2016, PPSN.

HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection

Asma Atamna, Chloé Clavel, C. Clavel, 2020, INTERSPEECH.

Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling

Anne Auger, Asma Atamna, Nikolaus Hansen, 2016, GECCO.

A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks

Nataliya Sokolovska, Asma Atamna, Jean-Claude Crivello, 2020, IDA.

On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling

Anne Auger, Asma Atamna, Nikolaus Hansen, 2020, Theor. Comput. Sci..

Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling

Anne Auger, Asma Atamna, Nikolaus Hansen, 2017, FOGA '17.

SPI-GCN: A Simple Permutation-Invariant Graph Convolutional Network

Nataliya Sokolovska, Asma Atamna, Jean-Claude Crivello, 2019 .