Zobrazeno 1 - 10
of 9 220
pro vyhledávání: '"Pouget, A."'
We distinguish between two sources of uncertainty in experimental causal inference: design uncertainty, due to the treatment assignment mechanism, and sampling uncertainty, when the sample is drawn from a super-population. This distinction matters in
Externí odkaz:
http://arxiv.org/abs/2410.21464
Autor:
Bertran, Michael A. Hernandez, Dominguez, Diana Zapata, Berhaut, Christopher, Tardif, Samuel, Longo, Alessandro, Sahle, Christoph, Cavallari, Chiara, Marri, Ivan, Herlin-Boime, Nathalie, Molinari, Elisa, Pouget, Stéphanie, Prezzi, Deborah, Lyonnard, Sandrine
During the first charge-discharge cycle, silicon-based batteries show an important capacity loss because of the formation of the solid electrolyte interphase (SEI) and morphological changes due to expansion-contraction sequence upon alloying. To unde
Externí odkaz:
http://arxiv.org/abs/2410.05794
The goal of Fair Representation Learning (FRL) is to mitigate biases in machine learning models by learning data representations that enable high accuracy on downstream tasks while minimizing discrimination based on sensitive attributes. The evaluati
Externí odkaz:
http://arxiv.org/abs/2405.18161
Autor:
Pouget, Angéline, Beyer, Lucas, Bugliarello, Emanuele, Wang, Xiao, Steiner, Andreas Peter, Zhai, Xiaohua, Alabdulmohsin, Ibrahim
We study cultural and socioeconomic diversity in contrastive vision-language models (VLMs). Using a broad range of benchmark datasets and evaluation metrics, we bring to attention several important findings. First, the common filtering of training da
Externí odkaz:
http://arxiv.org/abs/2405.13777
The presence of interference, where the outcome of an individual may depend on the treatment assignment and behavior of neighboring nodes, can lead to biased causal effect estimation. Current approaches to network experiment design focus on limiting
Externí odkaz:
http://arxiv.org/abs/2405.12340
High-Level Synthesis enables the rapid prototyping of hardware accelerators, by combining a high-level description of the functional behavior of a kernel with a set of micro-architecture optimizations as inputs. Such optimizations can be described by
Externí odkaz:
http://arxiv.org/abs/2405.12304
High-level synthesis, source-to-source compilers, and various Design Space Exploration techniques for pragma insertion have significantly improved the Quality of Results of generated designs. These tools offer benefits such as reduced development tim
Externí odkaz:
http://arxiv.org/abs/2405.03058
Autor:
Brennan, Jennifer, Cong, Yahu, Yu, Yiwei, Lin, Lina, Peng, Yajun, Meng, Changping, Han, Ningren, Pouget-Abadie, Jean, Holtz, David
It is increasingly common in digital environments to use A/B tests to compare the performance of recommendation algorithms. However, such experiments often violate the stable unit treatment value assumption (SUTVA), particularly SUTVA's "no hidden tr
Externí odkaz:
http://arxiv.org/abs/2309.07107
Estimating causal effects from randomized experiments is only feasible if participants agree to reveal their potentially sensitive responses. Of the many ways of ensuring privacy, label differential privacy is a widely used measure of an algorithm's
Externí odkaz:
http://arxiv.org/abs/2308.00957
Autor:
Munro, Evan, Jones, David, Brennan, Jennifer, Nelet, Roland, Mirrokni, Vahab, Pouget-Abadie, Jean
In online platforms, the impact of a treatment on an observed outcome may change over time as 1) users learn about the intervention, and 2) the system personalization, such as individualized recommendations, change over time. We introduce a non-param
Externí odkaz:
http://arxiv.org/abs/2306.00485