Search Results for author: Ruoxi Jiang

Found 3 papers, 2 papers with code

Pure Exploration in Kernel and Neural Bandits

no code implementations NeurIPS 2021 Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak

To overcome the curse of dimensionality, we propose to adaptively embed the feature representation of each arm into a lower-dimensional space and carefully deal with the induced model misspecification.

Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification

1 code implementation3 Nov 2022 Ruoxi Jiang, Rebecca Willett

This paper explores learning emulators for parameter estimation with uncertainty estimation of high-dimensional dynamical systems.

Contrastive Learning Time Series +2

Deep Stochastic Mechanics

2 code implementations31 May 2023 Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett

This paper introduces a novel deep-learning-based approach for numerical simulation of a time-evolving Schr\"odinger equation inspired by stochastic mechanics and generative diffusion models.

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