Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimizationby Kwang-Sung Jun, Jungtaek KimFirst…
A Novel Gaussian Min-Max Theorem and its Applicationsby Danil Akhtiamov, David Bosch, Reza Ghane, K…
PASOA- PArticle baSed Bayesian Optimal Adaptive designby Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence ForbesFirst…
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descentby Liu Ziyin, Mingze Wang, Hongchao Li,…
ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planningby Yihong Tang,…
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?by Ryan Liu, Theodore R.…
Fast UCB-type algorithms for stochastic bandits with heavy and super heavy symmetric noiseby Yuriy Dorn,…
The Relevance Feature and Vector Machine for health applicationsby Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández,…
Towards Quantifying the Preconditioning Effect of Adamby Rudrajit Das, Naman Agarwal, Sujay Sanghavi, Inderjit S.…
Efficient Incremental Belief Updates Using Weighted Virtual Observationsby David TolpinFirst submitted to arxiv on: 10…