Shuang Qiu | DeepAI

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Wei Li
286 publications
Michael I. Jordan
283 publications
Yu Wang
276 publications
Wei Xu
242 publications
Ji Liu
135 publications
Ce Zhang
133 publications
Xiang Bai
128 publications
Qi Wang
125 publications
Mubarak Shah
125 publications
Zhaoran Wang
121 publications
Yao Zhao
119 publications

∙ 05/28/2023

On the Value of Myopic Behavior in Policy Reuse

Leveraging learned strategies in unfamiliar scenarios is fundamental to ...

0 Kang Xu, et al. ∙

∙ 07/29/2022

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning

In view of its power in extracting feature representation, contrastive s...

6 Shuang Qiu, et al. ∙

∙ 07/25/2022

Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions

While single-agent policy optimization in a fixed environment has attrac...

3 Shuang Qiu, et al. ∙

∙ 06/12/2022

Stochastic Gradient Descent without Full Data Shuffle

Stochastic gradient descent (SGD) is the cornerstone of modern machine l...

39 Lijie Xu, et al. ∙

∙ 02/25/2022

Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach

Dynamic mechanism design studies how mechanism designers should allocate...

15 Boxiang Lyu, et al. ∙

∙ 11/27/2021

Safe Screening for Sparse Conditional Random Fields

Sparse Conditional Random Field (CRF) is a powerful technique in compute...

0 Weizhong Zhang, et al. ∙

∙ 10/19/2021

On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game

To achieve sample efficiency in reinforcement learning (RL), it necessit...

0 Shuang Qiu, et al. ∙

∙ 07/19/2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Crowd counting on the drone platform is an interesting topic in computer...

2 Dawei Du, et al. ∙

∙ 08/23/2020

Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning

Temporal-Difference (TD) learning with nonlinear smooth function approxi...

0 Shuang Qiu, et al. ∙

∙ 06/22/2020

Beyond O(√(T)) Regret for Constrained Online Optimization: Gradual Variations and Mirror Prox

We study constrained online convex optimization, where the constraints c...

0 Shuang Qiu, et al. ∙

∙ 05/12/2020

Energy-Aware DNN Graph Optimization

Unlike existing work in deep neural network (DNN) graphs optimization fo...

3 Yu Wang, et al. ∙

∙ 03/02/2020

Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions

We consider online learning for episodic Markov decision processes (MDPs...

0 Shuang Qiu, et al. ∙

∙ 10/11/2019

Central Server Free Federated Learning over Single-sided Trust Social Networks

Federated learning has become increasingly important for modern machine ...

0 Chaoyang He, et al. ∙

∙ 09/25/2019

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions

Graph node embedding aims at learning a vector representation for all no...

0 Shupeng Gui, et al. ∙

∙ 08/14/2019

Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis

We study the robust one-bit compressed sensing problem whose goal is to ...

2 Shuang Qiu, et al. ∙

∙ 07/17/2019

DeepSqueeze: Decentralization Meets Error-Compensated Compression

Communication is a key bottleneck in distributed training. Recently, an ...

0 Hanlin Tang, et al. ∙

∙ 07/17/2019

DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression

Communication is a key bottleneck in distributed training. Recently, an ...

0 Hanlin Tang, et al. ∙

∙ 02/14/2019

A Covariance-Based Hybrid Channel Feedback in FDD Massive MIMO Systems

In this paper, a novel covariance-based channel feedback mechanism is in...

0 Shuang Qiu, et al. ∙

∙ 01/30/2019

Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee

Factorization machine (FM) is a popular machine learning model to captur...

8 Ming Lin, et al. ∙

∙ 10/08/2018

Proximal Online Gradient is Optimum for Dynamic Regret

In online learning, the dynamic regret metric chooses the reference (opt...

0 Yawei Zhao, et al. ∙

∙ 07/06/2018

Enabling Covariance-Based Feedback in Massive MIMO: A User Classification Approach

In this paper, we propose a novel channel feedback scheme for frequency ...

0 Shuang Qiu, et al. ∙

∙ 05/28/2018

GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning

Graph embedding is a central problem in social network analysis and many...

0 Shupeng Gui, et al. ∙

∙ 11/29/2017

Downlink Precoding with Mixed Statistical and Imperfect Instantaneous CSI for Massive MIMO Systems

In this paper, the feasibility of a new downlink transmission mode in ma...

0 Shuang Qiu, et al. ∙

∙ 03/17/2017

Nonconvex One-bit Single-label Multi-label Learning

We study an extreme scenario in multi-label learning where each training...

0 Shuang Qiu, et al. ∙

∙ 03/02/2017

The Second Order Linear Model

We study a fundamental class of regression models called the second orde...

0 Ming Lin, et al. ∙

∙ 08/02/2015

Indexing of CNN Features for Large Scale Image Search

Convolutional neural network (CNN) features which represent images with ...

0 Ruoyu Liu, et al. ∙

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