Results 111 to 120 of about 3,143,268 (283)

Calibration of Distributionally Robust Empirical Optimization Problems

, 2018
We study the out-of-sample properties of robust empirical optimization and develop a theory for data-driven calibration of the ``robustness parameter"" for worst-case maximization problems with concave reward functions.
Lim, Andrew
core   +1 more source

Distributionally Robust Token Optimization in RLHF

CoRR
Large Language Models (LLMs) tend to respond correctly to prompts that align well with the data they were trained and fine-tuned on. Yet, small shifts in wording, format, or language can trigger surprisingly large failures, especially on multi-step reasoning problems.
Yeping Jin, Jiaming Hu, Ioannis Ch. Paschalidis   +2 more
openaire   +3 more sources

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin, Binbin Xue, Dewei Xie, Jia Li, Juyuan Pan, Lanbing Zhu, Qiaowen Tong, Jing Lin, Ruofan Zhu, Xu Zhang, Junhui Xia, Xiang Li   +11 more
wiley   +1 more source

A new distributionally robust reward-risk model for portfolio optimization

Open Mathematics
A new distributionally robust ratio optimization model is proposed under the known first and second moments of the uncertain distributions. In this article, both standard deviation (SD) and conditional value-at-risk (CVaR) are used to measure the risk ...
Zhou Yijia, Xu Lijun
doaj   +1 more source

A Distributionally Robust Optimization Method for Passenger Flow Control Strategy and Train Scheduling on an Urban Rail Transit Line. [PDF]

Engineering (Beijing), 2022
Lu Y, Yang L, Yang K, Gao Z, Zhou H, Meng F, Qi J.   +6 more
europepmc   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

Distributionally robust optimization of load balancing in new distribution network considering loop closing current constraints

Diance yu yibiao
In view of the influence of the uncertainty of distributed PV(photovoltaic) output on the loop closing operation of new distribution network, a distributionally robust optimization model of load balancing in new distribution network considering loop ...
CUI Jiao, SU Ji, ZHANG Juncheng, ZHAO Zhongyuan, ZHAN Fengnan, LIU Haixin   +5 more
doaj   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Decomposition Methods For Solving Distributionally Robust Two-Stage Stochastic Integer Programs

, 2018
We introduce and study a two-stage distributionally robust mixed binary problem (TSDR-MBP) where the random parameters follow the worst-case distribution belonging to an uncertainty set of probability distributions.
Mehrotra, Sanjay
core   +1 more source

Collaborative optimal operation of multiple rural integrated energy systems considering electricity interaction

Zhejiang dianli
To improve energy utilization efficiency and operational flexibility in multiple rural integrated energy systems （IESs）， a distributionally robust optimization strategy is proposed for coordinated operation considering electricity interaction among ...
WANG Chen, LIN Shunfu, LI Zhiqiang, WU Zhuoxiang, QIAN Liang   +4 more
doaj   +1 more source