Results 91 to 100 of about 2,032 (302)
Confidence regions in Wasserstein distributionally robust estimation
, 2022 Estimators based on Wasserstein distributionally robust optimization are obtained as solutions of min-max problems in which the statistician selects a parameter minimizing the worst-case loss among all probability models within a certain distance from ...
Blanchet, Jose +2 more
core +1 more source
Distributionally Robust Variational Quantum Algorithms With Shifted Noise
IEEE Transactions on Quantum EngineeringGiven their potential to demonstrate near-term quantum advantage, variational quantum algorithms (VQAs) have been extensively studied. Although numerous techniques have been developed for VQA parameter optimization, it remains a significant challenge.
Zichang He +3 more
doaj +1 more source
Research on Location and Distribution Decision of Emergency Material Logistics Network Under Uncertain Demand Distributions Scenario [PDF]
Jisuanji gongchengA reasonable preventive strategy for the location and distribution of emergency materials within a logistics network is key to ensuring the supply of materials after urgent events, such as the recent public health crisis.
LIU Ziqi, WEN Fei, ZHANG Dali, HAO Shuang
doaj +1 more source
Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
Molecular Oncology, EarlyView.This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source
Distributionally Robust Optimization with Principal Component Analysis
, 2019 In this talk, we propose a new approximation method to solve distributionally robust optimization problems with moment-based ambiguity sets.
Cheng, JianQiang
core
Molecular Oncology, EarlyView.Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
wiley +1 more source
Distributionally Robust Token Optimization in RLHF
CoRRLarge 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 +2 more
openaire +2 more sources
Distributionally Robust Stochastic and Online Optimization
, 2019 We present decision/optimization models/problems driven by uncertain and online data, and show how analytical models and computational algorithms can be used to achieve solution efficiency and near optimality.
Ye, Yinyu
core
Distributionally robust Lyapunov–Barrier Networks for safe and stable control under uncertainty
Results in Control and OptimizationThis paper addresses the challenge of simultaneously achieving stability and safety in nonlinear control systems subject to uncertain parameters. We propose distributionally robust Lyapunov–Barrier networks (DR-LBNs), a novel framework that unifies ...
Ali Baheri
doaj +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source