Results 71 to 80 of about 569 (214)
Conditional Distributionally Robust Functionals
Operations ResearchThis paper addresses decision making in multiple stages, where prior information is available and where consecutive and successive decisions are made. Risk measures assess the random outcome by taking various candidate probability measures into account.
Alexander Shapiro 0001, Alois Pichler
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An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes
FEBS Letters, EarlyView.GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg +14 more
wiley +1 more source
Distributionally Robust Performative Prediction
Advances in Neural Information Processing Systems 37In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Songkai Xue, Yuekai Sun
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Distributionally Robust Logistic Regression
, 2015 Neural Information Processing Systems (NIPS ...
Shafieezadeh Abadeh, Soroosh +2 more
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Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source
ROBUSTNESS MEASURES IN DISTRIBUTIONALLY ROBUST OPTIMIZATION
Distributionally Robust Optimization (DRO) is a worst-case approach to decision making when there is model uncertainty. It is also well known that for certain uncertainty sets, DRO is approximated by a regularized nominal problem. We show that the regularizer is not just a penalty function but the worst-case sensitivity (WCS) of the expected cost with ...
Jun-ya Gotoh +2 more
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Distributionally Robust Adaptive Beamforming
IEEE Transactions on Signal ProcessingAs a fundamental technique in array signal processing, beamforming plays a crucial role in amplifying signals of interest (SoI) while mitigating interference plus noise (IPN). When uncertainties exist in the signal model or the data size of snapshots is limited, the performance of beamformers significantly degrades.
Shixiong Wang +2 more
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Distributionally Robust Reinforcement Learning
CoRR, 2019 Real-world applications require RL algorithms to act safely. During learning process, it is likely that the agent executes sub-optimal actions that may lead to unsafe/poor states of the system. Exploration is particularly brittle in high-dimensional state/action space due to increased number of low-performing actions.
Elena Smirnova +2 more
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On distributionally robust multiperiod stochastic optimization [PDF]
Computational Management Science, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Analui, B., Pflug, G.C.
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Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source