research
          
      
      ∙
      12/11/2020
    Handy Formulas for Binomial Moments
Despite the relevance of the binomial distribution for probability theor...
          
            research
          
      
      ∙
      08/20/2020
    Simple Analysis of Johnson-Lindenstrauss Transform under Neuroscience Constraints
The paper re-analyzes a version of the celebrated Johnson-Lindenstrauss ...
          
            research
          
      
      ∙
      06/12/2020
    Concentration Bounds for the Collision Estimator
We prove a strong concentration result about the natural collision estim...
          
            research
          
      
      ∙
      06/12/2020
    Stochastic Analysis of Collision Estimator
We prove a strong concentration result about the collision estimator, wh...
          
            research
          
      
      ∙
      05/19/2020
    Revisiting Concentration of Missing Mass
We revisit the problem of missing mass concentration, deriving Bernstein...
          
            research
          
      
      ∙
      04/20/2020
    Revisiting Initialization of Neural Networks
Good initialization of weights is crucial for effective training of deep...
          
            research
          
      
      ∙
      04/10/2020
    Efficient Sampled Softmax for Tensorflow
This short paper discusses an efficient implementation of sampled softma...
          
            research
          
      
      ∙
      02/21/2020
    Practical Estimation of Renyi Entropy
Entropy Estimation is an important problem with many applications in cry...
          
            research
          
      
      ∙
      11/29/2019
    Chain Rules for Hessian and Higher Derivatives Made Easy by Tensor Calculus
Computing multivariate derivatives of matrix-like expressions in the com...
          
            research
          
      
      ∙
      02/28/2019
    Bounds on Bayes Factors for Binomial A/B Testing
Bayes factors, in many cases, have been proven to bridge the classic -va...
          
            research
          
      
      ∙
      01/02/2019
    Kernel Density Estimation Bias under Minimal Assumptions
Kernel Density Estimation is a very popular technique of approximating a...
          
            research
          
      
      ∙
      08/13/2018
     
             
  
  
     share
 share