Lifeng Lai | DeepAI

AI Chat

Featured Co-authors

Shuguang Cui
122 publications
Yonghui Li
116 publications
Tony Q. S. Quek
105 publications
Branka Vucetic
95 publications
Jian-Feng Cai
37 publications
Kaiyi Ji
30 publications
Shiqian Ma
29 publications
Weiyu Xu
23 publications
Changyang She
19 publications
Erhan Bayraktar
10 publications
Puning Zhao
9 publications

∙ 08/28/2023

Distributed Dual Coordinate Ascent with Imbalanced Data on a General Tree Network

In this paper, we investigate the impact of imbalanced data on the conve...

0 Myung Cho, et al. ∙

∙ 08/03/2023

Minimax Optimal Q Learning with Nearest Neighbors

Q learning is a popular model free reinforcement learning method. Most o...

0 Puning Zhao, et al. ∙

∙ 07/15/2023

Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning

Due to the broad range of applications of multi-agent reinforcement lear...

0 Guanlin Liu, et al. ∙

∙ 11/04/2022

Fairness-aware Regression Robust to Adversarial Attacks

In this paper, we take a first step towards answering the question of ho...

0 Yulu Jin, et al. ∙

∙ 02/08/2022

Efficiently Escaping Saddle Points in Bilevel Optimization

Bilevel optimization is one of the fundamental problems in machine learn...

0 Minhui Huang, et al. ∙

∙ 12/10/2021

Efficient Action Poisoning Attacks on Linear Contextual Bandits

Contextual bandit algorithms have many applicants in a variety of scenar...

0 Guanlin Liu, et al. ∙

∙ 10/09/2021

Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning

Due to the broad range of applications of reinforcement learning (RL), u...

0 Guanlin Liu, et al. ∙

∙ 09/29/2021

On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport

This paper studies the equitable and optimal transport (EOT) problem, wh...

0 Minhui Huang, et al. ∙

∙ 03/30/2021

Optimal Stochastic Nonconvex Optimization with Bandit Feedback

In this paper, we analyze the continuous armed bandit problems for nonco...

0 Puning Zhao, et al. ∙

∙ 02/05/2021

Projection Robust Wasserstein Barycenter

Collecting and aggregating information from several probability measures...

0 Minhui Huang, et al. ∙

∙ 12/09/2020

A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance

The Wasserstein distance has become increasingly important in machine le...

0 Minhui Huang, et al. ∙

∙ 10/20/2020

On the Adversarial Robustness of LASSO Based Feature Selection

In this paper, we investigate the adversarial robustness of feature sele...

0 Fuwei Li, et al. ∙

∙ 09/30/2020

Analysis of KNN Density Estimation

We analyze the ℓ_1 and ℓ_∞ convergence rates of k nearest neighbor densi...

0 Puning Zhao, et al. ∙

∙ 08/18/2020

Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method

Robust low-rank matrix completion (RMC), or robust principal component a...

0 Minhui Huang, et al. ∙

∙ 02/29/2020

Optimal Feature Manipulation Attacks Against Linear Regression

In this paper, we investigate how to manipulate the coefficients obtaine...

0 Fuwei Li, et al. ∙

∙ 02/26/2020

Minimax Optimal Estimation of KL Divergence for Continuous Distributions

Estimating Kullback-Leibler divergence from identical and independently ...

0 Puning Zhao, et al. ∙

∙ 02/19/2020

Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense

Due to the broad range of applications of stochastic multi-armed bandit ...

0 Guanlin Liu, et al. ∙

∙ 10/22/2019

Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression

k Nearest Neighbor (kNN) method is a simple and popular statistical meth...

0 Puning Zhao, et al. ∙

∙ 08/17/2019

On the Adversarial Robustness of Subspace Learning

In this paper, we study the adversarial robustness of subspace learning ...

0 Fuwei Li, et al. ∙

∙ 03/27/2019

On the Adversarial Robustness of Multivariate Robust Estimation

In this paper, we investigate the adversarial robustness of multivariate...

0 Erhan Bayraktar, et al. ∙

∙ 03/10/2019

Towards Ultra-Reliable Low-Latency Communications: Typical Scenarios, Possible Solutions, and Open Issues

Ultra-reliable low-latency communications (URLLC) has been considered as...

0 Daquan Feng, et al. ∙

∙ 12/31/2018

How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics:Optimal Strategie

Donald Trump was lagging behind in nearly all opinion polls leading up t...

0 Weiyu Xu, et al. ∙

∙ 12/02/2018

Quick Best Action Identification in Linear Bandit Problems

In this paper, we consider a best action identification problem in the s...

0 Jun Geng, et al. ∙

∙ 10/27/2018

Analysis of KNN Information Estimators for Smooth Distributions

KSG mutual information estimator, which is based on the distances of eac...

0 Puning Zhao, et al. ∙

∙ 06/11/2018

On the adversarial robustness of robust estimators

Motivated by recent data analytics applications, we study the adversaria...

0 Erhan Bayaktar, et al. ∙

∙ 09/18/2016

On Randomized Distributed Coordinate Descent with Quantized Updates

In this paper, we study the randomized distributed coordinate descent al...

0 Mostafa El Gamal, et al. ∙

∙ 09/15/2015

Precise Phase Transition of Total Variation Minimization

Characterizing the phase transitions of convex optimizations in recoveri...

0 Bingwen Zhang, et al. ∙

∙ 08/11/2015

Are Slepian-Wolf Rates Necessary for Distributed Parameter Estimation?

We consider a distributed parameter estimation problem, in which multipl...

0 Mostafa El Gamal, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world