CBMM Memo Series: Recent submissions

Now showing items 46-48 of 149

    • For interpolating kernel machines, the minimum norm ERM solution is the most stable 

      Rangamani, Akshay; Rosasco, Lorenzo; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2020-06-22)
      We study the average CVloo stability of kernel ridge-less regression and derive corresponding risk bounds. We show that the interpolating solution with minimum norm has the best CVloo stability, which in turn is controlled ...

    • An Exit Strategy from the Covid-19 Lockdown based on Risk-sensitive Resource Allocation 

      Shalev-Shwartz, Shai; Shashua, Amnon (Center for Brains, Minds and Machines (CBMM), 2020-04-15)
      We propose an exit strategy from the COVID-19 lockdown, which is based on a risk-sensitive levels of social distancing. At the heart of our approach is the realization that the most effective, yet limited in number, resources ...

    • Do Neural Networks for Segmentation Understand Insideness? 

      Villalobos, Kimberly; Štih, Vilim; Ahmadinejad, Amineh; Sundaram, Shobhita; Dozier, Jamell; e.a. (Center for Brains, Minds and Machines (CBMM), 2020-04-04)
      The insideness problem is an image segmentation modality that consists of determining which pixels are inside and outside a region. Deep Neural Networks (DNNs) excel in segmentation benchmarks, but it is unclear that they ...