
-
Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE
The Markov-Chain Monte-Carlo (MCMC) method has been used widely in the l...
read it
-
Wikipedia's Network Bias on Controversial Topics
The most important feature of Wikipedia is the presence of hyperlinks in...
read it
-
A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis
While standard statistical inference techniques and machine learning gen...
read it
-
Learning Equilibria of Simulation-Based Games
We tackle a fundamental problem in empirical game-theoretic analysis (EG...
read it
-
On the Complexity of Anonymous Communication Through Public Networks
Anonymous channels allow users to connect to websites or communicate wit...
read it
-
Uniform Convergence Bounds for Codec Selection
We frame the problem of selecting an optimal audio encoding scheme as a ...
read it
-
VizRec: A framework for secure data exploration via visual representation
Visual representations of data (visualizations) are tools of great impor...
read it
-
Unknown Examples & Machine Learning Model Generalization
Over the past decades, researchers and ML practitioners have come up wit...
read it
-
Machine Learning in High Energy Physics Community White Paper
Machine learning is an important research area in particle physics, begi...
read it
-
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of sto...
read it