Now showing items 1-5 of 5

    • A Convergent Hierarchy of Certificates for Constrained Signomial Positivity 

      Wang, Houze (University of Waterloo, 2020-09-24)
      Optimization is at the heart of many engineering problems. Many optimization problems, however, are computationally intractable. One approach to tackle such intractability is to find a tractable problem whose solution, ...
    • Likelihood-based Density Estimation using Deep Architectures 

      Jaini, Priyank (University of Waterloo, 2019-12-20)
      Multivariate density estimation is a central problem in unsupervised machine learning that has been studied immensely in both statistics and machine learning. Several methods have thus been proposed for density estimation ...
    • Understanding Minimax Optimization in Modern Machine Learning 

      Zhang, Guojun (University of Waterloo, 2021-07-21)
      Recent years has seen a surge of interest in building learning machines through adversarial training. One type of adversarial training is through a discriminator or an auxiliary classifier, such as Generative Adversarial ...
    • Unsupervised Multilingual Alignment using Wasserstein Barycenter 

      Lian, Xin (University of Waterloo, 2020-01-23)
      We investigate the language alignment problem when there are multiple languages, and we are interested in finding translation between all pairs of languages. The problem of language alignment has long been an exciting topic ...
    • Wasserstein Adversarial Robustness 

      Wu, Kaiwen (University of Waterloo, 2020-09-21)
      Deep models, while being extremely flexible and accurate, are surprisingly vulnerable to ``small, imperceptible'' perturbations known as adversarial attacks. While the majority of existing attacks focus on measuring ...


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