Hussein Hazimeh | DeepAI

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∙ 06/05/2023

COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search

The sparse Mixture-of-Experts (Sparse-MoE) framework efficiently scales ...

0 Shibal Ibrahim, et al. ∙

∙ 03/01/2023

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

ML models are ubiquitous in real world applications and are a constant f...

0 Natalia Ponomareva, et al. ∙

∙ 02/28/2023

Fast as CHITA: Neural Network Pruning with Combinatorial Optimization

The sheer size of modern neural networks makes model serving a serious c...

0 Riade Benbaki, et al. ∙

∙ 01/31/2023

Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets

Adversarial nets have proved to be powerful in various domains including...

0 Hussein Hazimeh, et al. ∙

∙ 01/30/2023

Benchmarking Robustness to Adversarial Image Obfuscations

Automated content filtering and moderation is an important tool that all...

0 Florian Stimberg, et al. ∙

∙ 05/19/2022

Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles

Decision tree ensembles are widely used and competitive learning models....

0 Shibal Ibrahim, et al. ∙

∙ 02/10/2022

L0Learn: A Scalable Package for Sparse Learning using L0 Regularization

We present L0Learn: an open-source package for sparse linear regression ...

0 Hussein Hazimeh, et al. ∙

∙ 04/14/2021

Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives

We present a new algorithmic framework for grouped variable selection th...

1 Hussein Hazimeh, et al. ∙

∙ 04/17/2020

Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization

We consider the least squares regression problem, penalized with a combi...

1 Hussein Hazimeh, et al. ∙

∙ 02/18/2020

The Tree Ensemble Layer: Differentiability meets Conditional Computation

Neural networks and tree ensembles are state-of-the-art learners, each w...

1 Hussein Hazimeh, et al. ∙

∙ 01/17/2020

Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives

We consider a discrete optimization based approach for learning sparse c...

8 Antoine Dedieu, et al. ∙

∙ 02/05/2019

Learning Hierarchical Interactions at Scale: A Convex Optimization Approach

In many learning settings, it is beneficial to augment the main features...

1 Hussein Hazimeh, et al. ∙

∙ 03/05/2018

Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms

We consider the canonical L_0-regularized least squares problem (aka bes...

1 Hussein Hazimeh, et al. ∙

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