40.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harvard UniversityUS3 papers
- Massachusetts Institute of TechnologyUS3 papers
- Stanford UniversityUS3 papers
- Brown UniversityUS2 papers
- Moscow Institute of Thermal TechnologyRU2 papers
- Universidad del NoresteMX2 papers
- University of ChicagoUS2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- ABB (Germany)DE1 paper
- Aix-Marseille UniversitéFR1 paper
- Anaconda (United States)US1 paper
- Applied BioMath (United States)US1 paper
19 papers
An E-value Reanalysis of DESI's Dynamical Dark Energy Signal
Jinyoung Kim, David F. Mota, Andrius Tamosiunas
Cosmological surveys such as DESI release data in stages, and each release reprocesses earlier observations and supersedes its predecessor. Testing the same hypothesis at every rel…
An Extendible, Graph-Neural-Network-Based Approach for Accurate Force Field Development of Large Flexible Organic Molecules
Xufei Wang, Yuanda Xu, Han Zheng +1
An accurate force field is the key to the success of all molecular mechanics simulations on organic polymers and biomolecules. Accuracy beyond density functional theory is often ne…
Noise-Induced Randomization in Regression Discontinuity Designs
Dean Eckles, Nikolaos Ignatiadis, Stefan Wager +1
Regression discontinuity designs assess causal effects in settings where treatment is determined by whether an observed running variable crosses a pre-specified threshold. Here we…
SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant +32
SciPy is an open source scientific computing library for the Python programming language. SciPy 1.0 was released in late 2017, about 16 years after the original version 0.1 release…
A Secure Cloud with Minimal Provider Trust
Amin Mosayyebzadeh, Gerardo Ravago, Apoorve Mohan +12
Bolted is a new architecture for a bare metal cloud with the goal of providing security-sensitive customers of a cloud the same level of security and control that they can obtain i…
A Closer Look at Deep Policy Gradients
Andrew Ilyas, Logan Engstrom, Shibani Santurkar +4
We study how the behavior of deep policy gradient algorithms reflects the conceptual framework motivating their development. To this end, we propose a fine-grained analysis of stat…
A new symmetry-based framework for discovering minimum energy pathways
Jason M. Munro, Hirofumi Akamatsu, Haricharan Padmanabhan +6
Physical systems evolve from one state to another along paths of least energy barrier. Without a priori knowledge of the energy landscape, multidimensional search methods aim to fi…
Exploring the Urban - Rural Incarceration Divide: Drivers of Local Jail Incarceration Rates in the U.S
Rachael Weiss Riley, Jacob Kang-Brown, Chris Mulligan +3
As the rate of incarceration in the United States continues to grow, a large body of research has been primarily focused on understanding the determinants and drivers of federal an…
The Efficient Server Audit Problem, Deduplicated Re-execution, and the Web
Cheng Tan, Lingfan Yu, Joshua B. Leners +1
You put a program on a concurrent server, but you don't trust the server; later, you get a trace of the actual requests that the server received from its clients and the responses…
Serverless Computing: Current Trends and Open Problems
Ioana Baldini, Paul Castro, Kerry Chang +8
Serverless computing has emerged as a new compelling paradigm for the deployment of applications and services. It represents an evolution of cloud programming models, abstractions,…
Managing travel demand: Location recommendation for system efficiency based on mobile phone data
Yan Leng, Larry Rudolph, Alex 'Sandy' Pentland +2
Growth in leisure travel has become increasingly significant economically, socially, and environmentally. However, flexible but uncoordinated travel behaviors exacerbate traffic co…
Warp Bridge Sampling: The Next Generation
Lazhi Wang, David E. Jones, Xiao-Li Meng
Bridge sampling is an effective Monte Carlo method for estimating the ratio of normalizing constants of two probability densities, a routine computational problem in statistics, ph…
Generalized R-squared for Detecting Dependence
Xufei Wang, Bo Jiang, Jun S. Liu
Detecting dependence between two random variables is a fundamental problem. Although the Pearson correlation is effective for capturing linear dependency, it can be entirely powerl…
Optimal shrinkage estimation of mean parameters in family of distributions with quadratic variance
Xianchao Xie, S. C. Kou, Lawrence Brown
This paper discusses the simultaneous inference of mean parameters in a family of distributions with quadratic variance function. We first introduce a class of semiparametric/param…
ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages
Matteo Riondato, Eli Upfal
We present ABRA, a suite of algorithms that compute and maintain probabilistically-guaranteed, high-quality, approximations of the betweenness centrality of all nodes (or edges) on…
Wiggins: Detecting Valuable Information in Dynamic Networks Using Limited Resources
Ahmad Mahmoody, Matteo Riondato, Eli Upfal
Detecting new information and events in a dynamic network by probing individual nodes has many practical applications: discovering new webpages, analyzing influence properties in n…
Compression in the Space of Permutations
Da Wang, Arya Mazumdar, Gregory Wornell
We investigate lossy compression (source coding) of data in the form of permutations. This problem has direct applications in the storage of ordinal data or rankings, and in the an…
A Family of Hybrid Random Number Generators with Adjustable Quality and Speed
William K. Cochran, Michael T. Heath, Kyle W. McKiou
Conventional random number generators provide the speed but not necessarily the high quality output streams needed for large-scale stochastic simulations. Cryptographically-based g…
Higher order Sobol' indices
Art Owen, Josef Dick, Su Chen
Sobol' indices measure the dependence of a high dimensional function on groups of variables defined on the unit cube . They are based on the ANOVA decomposition of functio…