no code implementations • 7 Feb 2024 • Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
To address these issues, our work proposes a collective approach for formulating counterfactual explanations, with an emphasis on utilizing the current density of the individuals to inform the recommended actions.
1 code implementation • 27 Jun 2023 • Ali Shirali, Moritz Hardt
ImageNet was famously created from Flickr image search results.
no code implementations • 13 Jun 2023 • Ali Shirali, Alexander Schubert, Ahmed Alaa
By disentangling accurate and approximated rewards through action pruning, potential distortions of the main objective are minimized, all while enabling the extraction of valuable information from intermediate signals that can guide the learning process.
no code implementations • 6 Oct 2022 • Ali Shirali, Rediet Abebe, Moritz Hardt
Dynamic benchmarks interweave model fitting and data collection in an attempt to mitigate the limitations of static benchmarks.
1 code implementation • 26 May 2022 • Ali Shirali
Datasets are often generated in a sequential manner, where the previous samples and intermediate decisions or interventions affect subsequent samples.
no code implementations • 1 Jan 2021 • Ali Shirali, Reza Kazemi, Arash Amini
The performance of the method is evaluated on two benchmark datasets (ML-100k and ML-1M).