Search Results for author: Ruoxuan Xiong

Found 8 papers, 1 papers with code

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization

no code implementations4 Oct 2021 Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin

Specifically, it first learns the conditional distribution of input features of one domain given input features of another domain, and then it estimates the domain-invariant relationship by predicting labels with the learned conditional distribution.

Domain Generalization

Federated Causal Inference in Heterogeneous Observational Data

no code implementations25 Jul 2021 Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey

Analyzing observational data from multiple sources can be useful for increasing statistical power to detect a treatment effect; however, practical constraints such as privacy considerations may restrict individual-level information sharing across data sets.

Causal Inference

Stable Prediction with Model Misspecification and Agnostic Distribution Shift

no code implementations31 Jan 2020 Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li

Then, these weights are used in the weighted regression to improve the accuracy of estimation on the effect of each variable, thus help to improve the stability of prediction across unknown test data.

Optimal Experimental Design for Staggered Rollouts

no code implementations9 Nov 2019 Ruoxuan Xiong, Susan Athey, Mohsen Bayati, Guido Imbens

In the general setting where outcomes depend on latent covariates, we show that historical data can be utilized in designing experiments.

Decision Making Experimental Design

A tractable ellipsoidal approximation for voltage regulation problems

no code implementations9 Mar 2019 Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto Sangiovanni-Vincentelli, Baosen Zhang

We present a machine learning approach to the solution of chance constrained optimizations in the context of voltage regulation problems in power system operation.

Stable Prediction across Unknown Environments

no code implementations16 Jun 2018 Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li

In this paper, we propose a novel Deep Global Balancing Regression (DGBR) algorithm to jointly optimize a deep auto-encoder model for feature selection and a global balancing model for stable prediction across unknown environments.

Feature Selection

Deep Learning Stock Volatility with Google Domestic Trends

2 code implementations15 Dec 2015 Ruoxuan Xiong, Eric P. Nichols, Yuan Shen

We have applied a Long Short-Term Memory neural network to model S&P 500 volatility, incorporating Google domestic trends as indicators of the public mood and macroeconomic factors.

Computational Finance

Cannot find the paper you are looking for? You can Submit a new open access paper.