Search Results for author: Mayank Kakodkar

Found 2 papers, 2 papers with code

Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Count Estimation

1 code implementation7 Dec 2020 Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Dias, Wagner Meira Jr., Bruno Ribeiro

This work considers the general task of estimating the sum of a bounded function over the edges of a graph, given neighborhood query access and where access to the entire network is prohibitively expensive.

Social and Information Networks Data Structures and Algorithms

From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets

1 code implementation22 Nov 2017 Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro

We propose a Las Vegas transformation of Markov Chain Monte Carlo (MCMC) estimators of Restricted Boltzmann Machines (RBMs).

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