description [ICLR 2026][Learning Theory][Single-index model] This paper proves that when learning single-index models in an interactive (bandit) environment, a naive normalized SGD equipped with ...
Highlights & Insights Theory-Practice Unification: BLAE is the first batched linear bandit algorithm that achieves both minimax optimal regret (in both regimes) and outstanding practical performance, ...
Abstract: Precipitable water vapor (PWV) has caught the interest of researchers for extensive study on weather prediction in recent times. Nevertheless, the prediction of rainfall cannot be solely ...
Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results