29,850 research outputs found
Information Design with Unknown Prior (Extended Abstract)
No full textClassical information design models (e.g., Bayesian persuasion and cheap talk) require players to have perfect knowledge of the prior distribution of the state of the world. Our paper studies repeated persuasion problems in which the information designer does not know the prior. The information designer learns to design signaling schemes from repeated interactions with the receiver. We design learning algorithms for the information designer to achieve no regret compared to using the optimal signaling scheme with known prior, under two models of the receiver’s decision-making:
(1) The first model assumes that the receiver knows the prior and can perform posterior update and best respond to signals. In this model, we design a learning algorithm for the information designer to achieve O(log T) regret in the general case, and another algorithm with Θ(log log T) regret in the case where the receiver has only two actions. Our algorithms are based on multi-dimensional and conservative binary search techniques, which circumvent the Ω(√T) limitation of empirical estimation in previous works.
(2) The second model assumes that the receiver does not know the prior either and employs a no-regret learning algorithm to take actions. Bayesian persuasion and cheap talk are equivalent under this no-regret learning receiver model. We show that the information designer can achieve regret O(√{rReg(T) T}), where rReg(T) = o(T) is an upper bound on the receiver’s learning regret. The algorithm is based on exploration + robustification. The O(√{rReg(T) T}) regret bound is tight even when the information designer knows the prior [Lin and Chen, 2024].
Our work thus provides a learning foundation for the problem of information design with unknown prior
Comparative studies on the enantioseparation of hydrobenzoin and structurally related compounds by capillary zone electrophoresis with sulfated beta-cyclodextrin as the chiral selector in the presence and absence of borate complexation
No full textDetermination of critical micelle concentration of surfactants by capillary electrophoresis
No full textVascular endothelial growth factor restores delayed tumor progression in tumors depleted of macrophages
Full text linkGenetic depletion of macrophages in Polyoma Middle T oncoprotein (PyMT)-induced mammary tumors in mice delayed the angiogenic switch and the progression to malignancy. To determine whether vascular endothelial growth factor A (VEGF-A) produced by tumor-associated macrophages regulated the onset of the angiogenic switch, a genetic approach was used to restore expression of VEGF-A into tumors at the benign stages. This stimulated formation of a high-density vessel network and in macrophage-depleted mice, was followed by accelerated tumor progression. The expression of VEGF-A led to a massive infiltration into the tumor of leukocytes that were mostly macrophages. This study suggests that macrophage-produced VEGF regulates malignant progression through stimulating tumor angiogenesis, leukocytic infiltration and tumor cell invasion
Enantioseparations of hydrobenzoin and structurally related compounds in capillary zone electrophoresis using heptakis(2,3-dihydroxy-6-O-sulfo)-beta-cyclodextrin as chiral selector and enantiomer migration reversal of hydrobenzoin with a dual cyclode
No full textUse of beta-cyclodextrin bonded phase with s-triazine moiety in the spacer for separation of aromatic carboxylic acid isomers by high-performance liquid chromatography
No full textMicrochip electrophoresis with hydrodynamic injection and waste-removing function for quantitative analysis
No full textEnantioseparation of benzoins and enantiomer migration reversal of hydrobenzoin in capillary zone electrophoresis with dual cyclodextrin systems and borate complexation
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