Results 111 to 120 of about 6,437 (212)

Fast Debiasing of the LASSO Estimator

CoRR
In high-dimensional sparse regression, the \textsc{Lasso} estimator offers excellent theoretical guarantees but is well-known to produce biased estimates. To address this, \cite{Javanmard2014} introduced a method to ``debias" the \textsc{Lasso} estimates for a random sub-Gaussian sensing matrix $\boldsymbol{A}$.
Shuvayan Banerjee, James Saunderson, Radhendushka Srivastava, Ajit Rajwade 0001   +3 more
openaire   +3 more sources

Debiasing overconfidence of Finnish investment advisors

, 2010
DEBIASING OVERCONFIDENCE OF FINNISH INVESTMENT ADVISORS PURPOSE OF THE STUDY The objective of this thesis is to examine debiasing of three types of overconfidence on investment advisors.
Perttula, Milla
core   +1 more source

Debiasing Pseudoscientific Beliefs

The widespread nature of irrational beliefs (i.e., beliefs about the world that defy the postulates of normative logic)coupled with their detrimental consequences, calls for urgent development of interventions that could reduce them.
Dobrosavljević, Milica, Lazić, Iva, Petrović, Marija, Mojsilović, Dejan   +3 more
core   +1 more source

Artificial intelligence and judicial decision-making: Evaluating the role of AI in debiasing

TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis
As arbiters of law and fact, judges are supposed to decide cases impartially, basing their decisions on authoritative legal sources and not being influenced by irrelevant factors.
Giovana Lopes
doaj   +1 more source

Exploring and Mitigating the Impact of Popularity Bias for Dynamic API Composition Recommendations

Tsinghua Science and Technology
The rapid expansion of Web APIs presents developers with significant challenges in selecting optimal API compositions. To address this issue, keyword-based API composition recommendation techniques have been proposed.
Weiyi Zhong, Dengshuai Zhai, Ali Khalili Fakhrabadi, Hani Attar, Yan Yan, Rong Jiang, Sifeng Wang   +6 more
doaj   +1 more source

Debiasing Temporal Sentence Grounding via Semantic-Aware Multimodal Query Reconstruction

IEEE Access
Temporal Sentence Grounding in Videos (TSGV) aims to identify the temporal segment in a video that semantically corresponds to a given textual query.
Minwoo Tae, Kwang Moo Yi, Sunoh Kim, Sang-Il Choi   +3 more
doaj   +1 more source

A Multi-LLM Debiasing Framework

International Conference Recent Advances in Natural Language Processing
Large Language Models (LLMs) are powerful tools with the potential to benefit society immensely, yet, they have demonstrated biases that perpetuate societal inequalities. Despite significant advancements in bias mitigation techniques using data augmentation, zero-shot prompting, and model fine-tuning, biases continuously persist, including subtle ...
Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu 0001, Franck Dernoncourt, Xiang Chen 0010, Ruiyi Zhang 0002, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka   +9 more
openaire   +3 more sources

A Non‐Intrusive Machine Learning Framework for Debiasing Long‐Time Coarse Resolution Climate Simulations and Quantifying Rare Events Statistics

Journal of Advances in Modeling Earth Systems
Due to the rapidly changing climate, the frequency and severity of extreme weather is expected to increase over the coming decades. As fully‐resolved climate simulations remain computationally intractable, policy makers must rely on coarse‐models to ...
Benedikt Barthel Sorensen, A. Charalampopoulos, S. Zhang, B. E. Harrop, L. R. Leung, T. P. Sapsis   +5 more
doaj   +1 more source

Disentanglement Learning to Deconfound Neuroimaging-Environmental Data: Application to Multi-Site Data Harmonization in Psychiatry

IEEE Access
Debiasing and deconfounding represent fundamental challenges in deep learning (DL) applications to neuroimaging data, where confounding effects can significantly compromise model reliability and generalizability.
Ines W. Sampaio, Anna M. Bianchi, Stefan Borgwardt, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Eva Meisenzahl, Raimo K. R. Salokangas, Rachel Upthegrove, Stephen J. Wood, Nikolaos Koutsouleris, Paolo Brambilla, Eleonora Maggioni   +11 more
doaj   +1 more source

Debiasing the Social Sciences

In dit proefschrift wordt onderzocht hoe we zuiverder en betrouwbaarder onderzoek kunnen doen in de sociale wetenschappen. In de wetenschap proberen we vaak groepen te vergelijken, bijvoorbeeld door te meten wat de effecten zijn een interventie of manipulatie. Onderzoekers hebben te maken met ongefundeerde voorkeuren en fouten in hun werk, bijvoorbeeld
openaire   +1 more source