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12/11/2020
Handy Formulas for Binomial Moments
Despite the relevance of the binomial distribution for probability theor...
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08/20/2020
Simple Analysis of Johnson-Lindenstrauss Transform under Neuroscience Constraints
The paper re-analyzes a version of the celebrated Johnson-Lindenstrauss ...
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06/12/2020
Concentration Bounds for the Collision Estimator
We prove a strong concentration result about the natural collision estim...
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06/12/2020
Stochastic Analysis of Collision Estimator
We prove a strong concentration result about the collision estimator, wh...
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05/19/2020
Revisiting Concentration of Missing Mass
We revisit the problem of missing mass concentration, deriving Bernstein...
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04/20/2020
Revisiting Initialization of Neural Networks
Good initialization of weights is crucial for effective training of deep...
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04/10/2020
Efficient Sampled Softmax for Tensorflow
This short paper discusses an efficient implementation of sampled softma...
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02/21/2020
Practical Estimation of Renyi Entropy
Entropy Estimation is an important problem with many applications in cry...
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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...
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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...
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01/02/2019
Kernel Density Estimation Bias under Minimal Assumptions
Kernel Density Estimation is a very popular technique of approximating a...
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08/13/2018