b'Linglong Kong'

research

∙ 06/24/2023

High-dimensional outlier detection and variable selection via adaptive weighted mean regression

This paper proposes an adaptive penalized weighted mean regression for o...

0 Jiaqi Li, et al. ∙

research

∙ 06/17/2023

Online Local Differential Private Quantile Inference via Self-normalization

Based on binary inquiries, we developed an algorithm to estimate populat...

0 YI LIU, et al. ∙

research

∙ 03/24/2023

Mathematical Challenges in Deep Learning

Deep models are dominating the artificial intelligence (AI) industry sin...

0 Vahid Partovi Nia, et al. ∙

research

∙ 02/05/2023

Scalable inference in functional linear regression with streaming data

Traditional static functional data analysis is facing new challenges due...

0 Jinhan Xie, et al. ∙

research

∙ 10/17/2022

Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy

Gaussian differential privacy (GDP) is a single-parameter family of priv...

0 YI LIU, et al. ∙

research

∙ 10/05/2022

Conformalized Fairness via Quantile Regression

Algorithmic fairness has received increased attention in socially sensit...

0 Meichen Liu, et al. ∙

research

∙ 10/03/2022

Inference on High-dimensional Single-index Models with Streaming Data

Traditional statistical methods are faced with new challenges due to str...

0 Dongxiao Han, et al. ∙

research

∙ 09/29/2022

How Does Value Distribution in Distributional Reinforcement Learning Help Optimization?

We consider the problem of learning a set of probability distributions f...

0 Ke Sun, et al. ∙

research

∙ 04/04/2022

An adaptive model checking test for functional linear model

Numerous studies have been devoted to the estimation and inference probl...

0 Enze Shi, et al. ∙

research

∙ 02/01/2022

Distributional Reinforcement Learning via Sinkhorn Iterations

Distributional reinforcement learning (RL) is a class of state-of-the-ar...

1 Ke Sun, et al. ∙

research

∙ 12/17/2021

Functional Linear Regression for Partially Observed Functional Data

In the functional linear regression model, many methods have been propos...

0 Yafei Wang, et al. ∙

research

∙ 12/09/2021

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving

With widening deployments of natural language processing (NLP) in daily ...

0 Lei Ding, et al. ∙

research

∙ 10/17/2021

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization

Anderson mixing has been heuristically applied to reinforcement learning...

10 Ke Sun, et al. ∙

research

∙ 10/13/2021

TAG: Toward Accurate Social Media Content Tagging with a Concept Graph

Although conceptualization has been widely studied in semantics and know...

0 Jiuding Yang, et al. ∙

research

∙ 10/07/2021

Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm

Distributional reinforcement learning (RL) is a class of state-of-the-ar...

2 Ke Sun, et al. ∙

research

∙ 09/25/2021

L^2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning

Neural architecture search (NAS) has achieved remarkable results in deep...

0 Keith G. Mills, et al. ∙

research

∙ 09/21/2021

A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning

Abnormal states in deep reinforcement learning (RL) are states that are ...

0 Hongming Zhang, et al. ∙

research

∙ 09/17/2021

Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations

In real scenarios, state observations that an agent observes may contain...

7 Ke Sun, et al. ∙

research

∙ 03/08/2021

A reproducing kernel Hilbert space framework for functional data classification

We encounter a bottleneck when we try to borrow the strength of classica...

0 Peijun Sang, et al. ∙

research

∙ 12/19/2020

High-Dimensional Spatial Quantile Function-on-Scalar Regression

This paper develops a novel spatial quantile function-on-scalar regressi...

0 Zhengwu Zhang, et al. ∙

research

∙ 07/17/2019

Learning Privately over Distributed Features: An ADMM Sharing Approach

Distributed machine learning has been widely studied in order to handle ...

0 Yaochen Hu, et al. ∙

research

∙ 05/13/2019

Distributional Reinforcement Learning for Efficient Exploration

In distributional reinforcement learning (RL), the estimated distributio...

0 Borislav Mavrin, et al. ∙

research

∙ 03/18/2019

Deep Reinforcement Learning with Decorrelation

Learning an effective representation for high-dimensional data is a chal...

0 Borislav Mavrin, et al. ∙

research

∙ 11/05/2018

QUOTA: The Quantile Option Architecture for Reinforcement Learning

In this paper, we propose the Quantile Option Architecture (QUOTA) for e...

0 Shangtong Zhang, et al. ∙

research

∙ 03/01/2018

House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis

Online real-estate information systems such as Zillow and Trulia have ga...

0 Bang Liu, et al. ∙

research

∙ 03/01/2018

Recover Fine-Grained Spatial Data from Coarse Aggregation

In this paper, we study a new type of spatial sparse recovery problem, t...

0 Bang Liu, et al. ∙

research

∙ 03/01/2018

Growing Story Forest Online from Massive Breaking News

We describe our experience of implementing a news content organization s...

0 Bang Liu, et al. ∙

research

∙ 09/13/2017

cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection

The cqrReg package for R is the first to introduce a family of robust, h...

0 Matthew Pietrosanu, et al. ∙

research

∙ 09/07/2017

An Alternative Approach to Functional Linear Partial Quantile Regression

We have previously proposed the partial quantile regression (PQR) predic...

0 Dengdeng Yu, et al. ∙

research

∙ 06/07/2016

Expectile Matrix Factorization for Skewed Data Analysis

Matrix factorization is a popular approach to solving matrix estimation ...

0 Rui Zhu, et al. ∙

research

∙ 05/27/2016

Local Region Sparse Learning for Image-on-Scalar Regression

Identification of regions of interest (ROI) associated with certain dise...

0 Yao Chen, et al. ∙

Linglong Kong

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