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03/25/2023
On the Efficiency of An Election Game of Two or More Parties: How Bad Can It Be?
We extend our previous work on two-party election competition [Lin, Lu ...
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02/16/2022
Improved analysis of randomized SVD for top-eigenvector approximation
Computing the top eigenvectors of a matrix is a problem of fundamental i...
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08/26/2021
Rethinking Why Intermediate-Task Fine-Tuning Works
Supplementary Training on Intermediate Labeled-data Tasks (STILTs) is a ...
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09/29/2020
TinyGAN: Distilling BigGAN for Conditional Image Generation
Generative Adversarial Networks (GANs) have become a powerful approach f...
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01/16/2020
How Good Is a Two-Party Election Game?
In this paper, we propose a simple and intuitive model to investigate th...
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02/05/2019
An Alternating Algorithm for Finding Linear Arrow-Debreu Market Equilibrium
Motivated by the convergence of mirror-descent algorithms to market equi...
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03/28/2018
On the Algorithmic Power of Spiking Neural Networks
Spiking Neural Networks (SNN) are mathematical models in neuroscience to...
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03/05/2018
Playing Stackelberg Opinion Optimization with Randomized Algorithms for Combinatorial Strategies
From a perspective of designing or engineering for opinion formation gam...
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06/04/2015
Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA
We study the problem of recovering the subspace spanned by the first k p...
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06/27/2012