Shuang Qiu | DeepAI

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∙ 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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