
SingleTimescale Stochastic NonconvexConcave Optimization for Smooth Nonlinear TD Learning
TemporalDifference (TD) learning with nonlinear smooth function approxi...
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Beyond O(√(T)) Regret for Constrained Online Optimization: Gradual Variations and Mirror Prox
We study constrained online convex optimization, where the constraints c...
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EnergyAware DNN Graph Optimization
Unlike existing work in deep neural network (DNN) graphs optimization fo...
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Upper Confidence PrimalDual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions
We consider online learning for episodic Markov decision processes (MDPs...
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Central Server Free Federated Learning over Singlesided Trust Social Networks
Federated learning has become increasingly important for modern machine ...
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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...
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Robust OneBit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis
We study the robust onebit compressed sensing problem whose goal is to ...
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DeepSqueeze: Decentralization Meets ErrorCompensated Compression
Communication is a key bottleneck in distributed training. Recently, an ...
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DeepSqueeze: Parallel Stochastic Gradient Descent with DoublePass ErrorCompensated Compression
Communication is a key bottleneck in distributed training. Recently, an ...
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A CovarianceBased Hybrid Channel Feedback in FDD Massive MIMO Systems
In this paper, a novel covariancebased channel feedback mechanism is in...
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Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee
Factorization machine (FM) is a popular machine learning model to captur...
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Proximal Online Gradient is Optimum for Dynamic Regret
In online learning, the dynamic regret metric chooses the reference (opt...
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Enabling CovarianceBased Feedback in Massive MIMO: A User Classification Approach
In this paper, we propose a novel channel feedback scheme for frequency ...
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GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning
Graph embedding is a central problem in social network analysis and many...
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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...
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Nonconvex Onebit Singlelabel Multilabel Learning
We study an extreme scenario in multilabel learning where each training...
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The Second Order Linear Model
We study a fundamental class of regression models called the second orde...
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Indexing of CNN Features for Large Scale Image Search
Convolutional neural network (CNN) features which represent images with ...
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Shuang Qiu
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