Zobrazeno 1 - 10
of 17 353
pro vyhledávání: '"A Rumi"'
Publikováno v:
Condens. Matter 2024, 9(4), 37 (2024)
We report on two mechanisms of angularly selective enhanced screening in the solid vortex phase of extremely layered superconductors with tilted columnar defects (CDs). We study Bi$_2$Sr$_2$CaCu$_2$O$_{8+\delta}$ samples with different densities of C
Externí odkaz:
http://arxiv.org/abs/2410.01040
Autor:
Liu, Yi-Hsin, Hesse, Michael, Genestreti, Kevin, Nakamura, Rumi, Burch, Jim, Cassak, Paul, Bessho, Naoki, Eastwood, Jonathan, Phan, Tai, Swisdak, Marc, Toledo-Redondo, Sergio, Hoshino, Masahiro, Norgren, Cecilia, Ji, Hantao, Nakamura, TKM
Magnetic reconnection is a ubiquitous plasma process that transforms magnetic energy into particle energy during eruptive events throughout the universe. Reconnection not only converts energy during solar flares and geomagnetic substorms that drive s
Externí odkaz:
http://arxiv.org/abs/2406.00875
Autor:
Zhang, Miao, Chunara, Rumi
Performance disparities of image recognition across different demographic populations are known to exist in deep learning-based models, but previous work has largely addressed such fairness problems assuming knowledge of sensitive attribute labels. T
Externí odkaz:
http://arxiv.org/abs/2403.10624
Autor:
Mhasawade, Vishwali, Chunara, Rumi
Transported mediation effects provide an avenue to understand how upstream interventions (such as improved neighborhood conditions like green spaces) would work differently when applied to different populations as a result of factors that mediate the
Externí odkaz:
http://arxiv.org/abs/2403.08638
Autor:
Pasteris, Stephen, Rumi, Alberto, Thiessen, Maximilian, Saito, Shota, Miyauchi, Atsushi, Vitale, Fabio, Herbster, Mark
We study the classic problem of prediction with expert advice under bandit feedback. Our model assumes that one action, corresponding to the learner's abstention from play, has no reward or loss on every trial. We propose the CBA algorithm, which exp
Externí odkaz:
http://arxiv.org/abs/2402.14585
Autor:
Rahman, Salman, Jiang, Lavender Yao, Gabriel, Saadia, Aphinyanaphongs, Yindalon, Oermann, Eric Karl, Chunara, Rumi
Advances in large language models (LLMs) provide new opportunities in healthcare for improved patient care, clinical decision-making, and enhancement of physician and administrator workflows. However, the potential of these models importantly depends
Externí odkaz:
http://arxiv.org/abs/2402.10965
New data sources, and artificial intelligence (AI) methods to extract information from them are becoming plentiful, and relevant to decision making in many societal applications. An important example is street view imagery, available in over 100 coun
Externí odkaz:
http://arxiv.org/abs/2402.06059
Previous work has highlighted that existing post-hoc explanation methods exhibit disparities in explanation fidelity (across 'race' and 'gender' as sensitive attributes), and while a large body of work focuses on mitigating these issues at the explan
Externí odkaz:
http://arxiv.org/abs/2401.14539
We study best-of-both-worlds algorithms for $K$-armed linear contextual bandits. Our algorithms deliver near-optimal regret bounds in both the adversarial and stochastic regimes, without prior knowledge about the environment. In the stochastic regime
Externí odkaz:
http://arxiv.org/abs/2312.15433
In fairness audits, a standard objective is to detect whether a given algorithm performs substantially differently between subgroups. Properly powering the statistical analysis of such audits is crucial for obtaining informative fairness assessments,
Externí odkaz:
http://arxiv.org/abs/2312.04745