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06/27/2023
An Efficient Decomposition Algorithm for Large-Scale Network Slicing
In this paper, we consider the network slicing (NS) problem which attemp...
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06/12/2023
A Distribution Optimization Framework for Confidence Bounds of Risk Measures
We present a distribution optimization framework that significantly impr...
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06/11/2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
Imitation learning (IL) has proven to be an effective method for learnin...
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06/04/2023
Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures
We study finite episodic Markov decision processes incorporating dynamic...
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02/28/2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
Spiking Neural Networks (SNNs) are promising energy-efficient models for...
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02/27/2023
Invariant Layers for Graphs with Nodes of Different Types
Neural networks that satisfy invariance with respect to input permutatio...
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02/20/2023
Coordinating Multiple Intelligent Reflecting Surfaces without Channel Information
Conventional beamforming methods for intelligent reflecting surfaces (IR...
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01/27/2023
Theoretical Analysis of Offline Imitation With Supplementary Dataset
Behavioral cloning (BC) can recover a good policy from abundant expert d...
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11/27/2022
Adversarial Rademacher Complexity of Deep Neural Networks
Deep neural networks are vulnerable to adversarial attacks. Ideally, a r...
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11/09/2022
A Linear Time Algorithm for the Optimal Discrete IRS Beamforming
It remains an open problem to find the optimal configuration of phase sh...
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10/25/2022
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds
We study the regret guarantee for risk-sensitive reinforcement learning ...
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10/21/2022
When Expressivity Meets Trainability: Fewer than n Neurons Can Work
Modern neural networks are often quite wide, causing large memory and co...
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10/03/2022
Stability Analysis and Generalization Bounds of Adversarial Training
In adversarial machine learning, deep neural networks can fit the advers...
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10/02/2022
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis
Adversarial Training (AT) has been demonstrated as one of the most effec...
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10/02/2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples
Deep neural networks (DNNs) are shown to be vulnerable to adversarial ex...
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08/20/2022
Adam Can Converge Without Any Modification on Update Rules
Ever since Reddi et al. 2018 pointed out the divergence issue of Adam, m...
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08/03/2022
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis
Imitation learning learns a policy from expert trajectories. While the e...
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07/20/2022
Natural Thresholding Algorithms for Signal Recovery with Sparsity
The algorithms based on the technique of optimal k-thresholding (OT) wer...
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05/28/2022
Efficient-Adam: Communication-Efficient Distributed Adam with Complexity Analysis
Distributed adaptive stochastic gradient methods have been widely used f...
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05/01/2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
Spiking Neural Network (SNN) is a promising energy-efficient AI model wh...
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02/05/2022
Rethinking ValueDice: Does It Really Improve Performance?
Since the introduction of GAIL, adversarial imitation learning (AIL) met...
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12/04/2021
Configuring Intelligent Reflecting Surface with Performance Guarantees: Blind Beamforming
This work gives a blind beamforming strategy for intelligent reflecting ...
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12/04/2021
Configuring Intelligent Reflecting Surface with Performance Guarantees: Optimal Beamforming
This work proposes linear time strategies to optimally configure the pha...
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10/08/2021
Optimal QoS-Aware Network Slicing for Service-Oriented Networks with Flexible Routing
In this paper, we consider the network slicing problem which attempts to...
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08/23/2021
Dynamic Orthogonal Matching Pursuit for Signal Reconstruction
Orthogonal matching pursuit (OMP) is one of the mainstream algorithms fo...
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07/30/2021
Towards Efficient Large-Scale Network Slicing: An LP Rounding-and-Refinement Approach
In this paper, we propose an efficient algorithm for the network slicing...
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02/04/2021
An efficient linear programming rounding-and-refinement algorithm for large-scale network slicing problem
In this paper, we consider the network slicing problem which attempts to...
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11/10/2020
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
While many distributed optimization algorithms have been proposed for so...
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10/29/2020
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
Nonconvex-concave min-max problem arises in many machine learning applic...
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06/21/2020
Optimal Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency
Network function virtualization is a promising technology to simultaneou...
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06/07/2020
Optimally Combining Classifiers for Semi-Supervised Learning
This paper considers semi-supervised learning for tabular data. It is wi...
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02/18/2020
Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency
Network function virtualization is a promising technology to simultaneou...
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12/21/2019
Analysis of Optimal Thresholding Algorithms for Compressed Sensing
The optimal thresholding is a new technique that has recently been devel...
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10/08/2019
Overcoming DoF Limitation in Robust Beamforming: A Penalized Inequality-Constrained Approach
A well-known challenge in beamforming is how to optimally utilize the de...
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05/10/2019
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization
In this paper, we propose an inexact block coordinate descent algorithm ...
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10/11/2018
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
The heavy-tailed distributions of corrupted outliers and singular values...
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12/15/2015
Globally Optimal Joint Uplink Base Station Association and Beamforming
The joint base station (BS) association and beamforming problem has been...
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11/05/2015