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Wikipedia's Network Bias on Controversial Topics
The most important feature of Wikipedia is the presence of hyperlinks in...
07/16/2020 ∙ by Cristina Menghini, et al. ∙
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A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis
While standard statistical inference techniques and machine learning gen...
10/04/2019 ∙ by Lorenzo De Stefani, et al. ∙
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Learning Equilibria of Simulation-Based Games
We tackle a fundamental problem in empirical game-theoretic analysis (EG...
05/31/2019 ∙ by Enrique Areyan Viqueira, et al. ∙
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On the Complexity of Anonymous Communication Through Public Networks
Anonymous channels allow users to connect to websites or communicate wit...
02/17/2019 ∙ by Megumi Ando, et al. ∙
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Uniform Convergence Bounds for Codec Selection
We frame the problem of selecting an optimal audio encoding scheme as a ...
12/18/2018 ∙ by Clayton Sanford, et al. ∙
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VizRec: A framework for secure data exploration via visual representation
Visual representations of data (visualizations) are tools of great impor...
11/01/2018 ∙ by Lorenzo De Stefani, et al. ∙
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Unknown Examples & Machine Learning Model Generalization
Over the past decades, researchers and ML practitioners have come up wit...
08/24/2018 ∙ by Yeounoh Chung, et al. ∙
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Machine Learning in High Energy Physics Community White Paper
Machine learning is an important research area in particle physics, begi...
07/08/2018 ∙ by Kim Albertsson, et al. ∙
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A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of sto...
01/10/2013 ∙ by Milos Hauskrecht, et al. ∙
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