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08/25/2023
SGMM: Stochastic Approximation to Generalized Method of Moments
We introduce a new class of algorithms, Stochastic Generalized Method of...
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07/06/2023
Robust Deployment and Resource Allocation for Robotic Aerial Base Station Enabled OFDM Integrated Sensing and Communication
The envisioned robotic aerial base station (RABS) concept is expected to...
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03/08/2023
Distributed and Deep Vertical Federated Learning with Big Data
In recent years, data are typically distributed in multiple organization...
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12/31/2022
Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sieves
General nonlinear sieve learnings are classes of nonlinear sieves that c...
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09/29/2022
Fast Inference for Quantile Regression with Tens of Millions of Observations
While applications of big data analytics have brought many new opportuni...
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05/07/2022
Max-min Rate Deployment Optimization for Backhaul-limited Robotic Aerial 6G Small Cells
To overcome the limited on-board battery issue of nominal airborne base ...
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10/07/2021
Optimal Deployment and Operation of Robotic Aerial 6G Small Cells with Grasping End Effectors
Although airborne base stations (ABSs) mounted on drones show a signific...
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07/06/2021
Inference for Low-Rank Models
This paper studies inference in linear models whose parameter of interes...
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06/07/2021
Energy and Age Pareto Optimal Trajectories in UAV-assisted Wireless Data Collection
This paper studies an unmanned aerial vehicle (UAV)-assisted wireless ne...
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06/06/2021
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
We develop a new method of online inference for a vector of parameters e...
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04/28/2021
Trajectory Design in Rechargeable UAV Aided Wireless Networks: A Unified Framework for Energy Efficiency and Flight Time Minimization
This paper studies a rechargeable unmanned aerial vehicle (UAV) assisted...
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09/21/2020
Recent Developments on Factor Models and its Applications in Econometric Learning
This paper makes a selective survey on the recent development of the fac...
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06/18/2020
Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate
In this paper, we estimate the time-varying COVID-19 contact rate of a S...
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08/04/2019
Learning Latent Factors from Diversified Projections and its Applications to Over-Estimated and Weak Factors
Estimations and applications of factor models often rely on the crucial ...
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12/19/2018
Inference For Heterogeneous Effects Using Low-Rank Estimations
We study a panel data model with general heterogeneous effects, where sl...
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11/13/2017