Eli Upfal

is this you? claim profile

0 followers
Brown University

Featured Co-authors

Tim Kraska
35 publications
Gilles Louppe
35 publications
Kyle Cranmer
30 publications
Andrey Ustyuzhanin
16 publications
Milos Hauskrecht
15 publications
Michela Paganini
12 publications
Jean-Roch Vlimant
12 publications
Stefano Carrazza
11 publications
Wahid Bhimji
9 publications
Javier Duarte
8 publications
Jim Pivarski
8 publications

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...
11/22/2020 ∙ by Cyrus Cousins, et al. ∙ 0 ∙ share

read it
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. ∙ 0 ∙ share

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...
10/04/2019 ∙ by Lorenzo De Stefani, et al. ∙ 0 ∙ share

read it
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. ∙ 0 ∙ share

read it
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. ∙ 0 ∙ share

read it
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. ∙ 0 ∙ share

read it
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. ∙ 0 ∙ share

read it
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. ∙ 0 ∙ share

read it
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. ∙ 0 ∙ share

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...
01/10/2013 ∙ by Milos Hauskrecht, et al. ∙ 0 ∙ share

read it