Akram Erraqabi

Pliable Rejection Sampling

Michal Valko, Alexandra Carpentier, Akram Erraqabi, 2016, ICML.

Exploration-Driven Representation Learning in Reinforcement Learning

Marlos C. Machado, Yoshua Bengio, A. Lazaric, 2021 .

Diet Networks: Thin Parameters for Fat Genomic pdf

Yoshua Bengio, Marie-Pierre Dubé, Akram Erraqabi, 2016, ArXiv.

Combining adaptive algorithms and hypergradient method: a performance and robustness study

Nicolas Le Roux, Akram Erraqabi, Akram Erraqabi, 2018 .

Flexible Learning of Sparse Neural Networks via Constrained L0 Regularizations

Akram Erraqabi, J. Gallego-Posada, Juan Ramirez de los Rios, 2021, LatinX in AI at Neural Information Processing Systems Conference 2021.

Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints

S. Lacoste-Julien, Y. Bengio, Akram Erraqabi, 2022, ArXiv.

Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints

S. Lacoste-Julien, Y. Bengio, Akram Erraqabi, 2022, NeurIPS.

Trading off Rewards and Errors in Multi-Armed Bandits

Alessandro Lazaric, Michal Valko, Yun-En Liu, 2017, AISTATS.

On Random Weights for Texture Generation in One Layer Neural Networks pdf

Yoshua Bengio, Akram Erraqabi, Kundan Kumar, 2016, ArXiv.

Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL

Marlos C. Machado, A. Lazaric, Sainbayar Sukhbaatar, 2022, UAI.

Diet Networks: Thin Parameters for Fat Genomic

Yoshua Bengio, Marie-Pierre Dubé, Akram Erraqabi, 2016, ICLR.