Amir Najmi

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All published works
Action Title Year Authors
+ The Penalty Imposed by Ablated Data Augmentation 2020 Frederick Liu
Amir Najmi
Mukund Sundararajan
+ The many Shapley values for model explanation. 2019 Mukund Sundararajan
Amir Najmi
+ Randomized Experimental Design via Geographic Clustering 2019 David Rolnick
Kevin Aydin
Jean Pouget-Abadie
Shahab Kamali
Vahab Mirrokni
Amir Najmi
+ Top Challenges from the first Practical Online Controlled Experiments Summit 2019 Somit Gupta
Ronny Kohavi
Diane Tang
Ya Xu
Reid Andersen
Eytan Bakshy
Niall J. Cardin
Sumita Chandran
Nanyu Chen
Dominic Coey
+ Unbiased variance reduction in randomized experiments 2019 Reza Hosseini
Amir Najmi
+ The many Shapley values for model explanation 2019 Mukund Sundararajan
Amir Najmi
+ GeoCUTS: Geographic Clustering Using Travel Statistics. 2016 David Rolnick
Kevin Aydin
Shahab Kamali
Vahab Mirrokni
Amir Najmi
+ Randomized Experimental Design via Geographic Clustering. 2016 David Rolnick
Kevin Aydin
Jean Pouget-Abadie
Shahab Kamali
Vahab Mirrokni
Amir Najmi
+ Randomized Experimental Design via Geographic Clustering 2016 David Rolnick
Kevin Aydin
Jean Pouget-Abadie
Shahab Kamali
Vahab Mirrokni
Amir Najmi
+ Second Order Calibration: A Simple Way to Get Approximate Posteriors 2015 Omkar Muralidharan
Amir Najmi
+ Second Order Calibration: A Simple Way to Get Approximate Posteriors 2015 Omkar Muralidharan
Amir Najmi
+ Feedback Detection for Live Statistical Predictors. 2013 Stefan Wager
Nick Chamandy
Omkar Muralidharan
Amir Najmi
+ Feedback Detection for Live Predictors 2013 Stefan Wager
Nick Chamandy
Omkar Muralidharan
Amir Najmi
+ Developments in the roles, features, and evaluation of alerting algorithms for disease outbreak monitoring 2008 Howard Burkom
Yevgeniy Elbert
Steven F. Magruder
Amir Najmi
W. B. Peter
Michael W. Thompson
+ The Continuous Wavelet Transform and Variable Resolution Time-Frequency Analysis 1997 Amir Najmi
J.S. Sadowsky
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Finding connected components in map-reduce in logarithmic rounds 2013 Vibhor Rastogi
Ashwin Machanavajjhala
Laukik Chitnis
Anish Das Sarma
3
+ PDF Chat Causal Inference for Statistics, Social, and Biomedical Sciences 2015 Guido W. Imbens
Donald B. Rubin
3
+ PDF Chat Exact<i>p</i>-Values for Network Interference 2016 Susan Athey
Dean Eckles
Guido W. Imbens
3
+ Graph cluster randomization 2013 Johan Ugander
Brian Karrer
Lars BÀckström
Jon Kleinberg
3
+ Distributed Balanced Partitioning via Linear Embedding 2016 Kevin Aydin
MohammadHossein Bateni
Vahab Mirrokni
3
+ Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction 2015 Guido W. Imbens
Donald B. Rubin
3
+ GUIDOIMBENS, DONALDRUBIN, Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. New York: Cambridge University Press. 2016 Bryan E. Shepherd
Ryan T. Jarrett
Lingjun Fu
2
+ Causal Inference Using Potential Outcomes 2005 Donald B. Rubin
2
+ Axiomatic Attribution for Deep Networks 2017 Mukund Sundararajan
Ankur Taly
Qiqi Yan
2
+ A Unified Approach to Interpreting Model Predictions 2017 Scott Lundberg
Su‐In Lee
2
+ Pitfalls of and Controversies in Cluster Randomization Trials 2004 Allan Donner
Neil Klar
2
+ PDF Chat Design and Analysis of Experiments in Networks: Reducing Bias from Interference 2016 Dean Eckles
Brian Karrer
Johan Ugander
2
+ Statistics and Causal Inference 1986 Paul W. Holland
2
+ Detecting Network Effects 2017 Martin Saveski
Jean Pouget-Abadie
Guillaume Saint-Jacques
Weitao Duan
Souvik Ghosh
Ya Xu
Edoardo M. Airoldi
2
+ Design of Randomized Experiments in Networks 2014 D. Walker
Lev Muchnik
2
+ PDF Chat Improving the sensitivity of online controlled experiments by utilizing pre-experiment data 2013 Alex Deng
Ya Xu
Ron Kohavi
Toby Walker
2
+ Optimal design of experiments in the presence of network-correlated outcomes. 2015 Guillaume Basse
Edoardo M. Airoldi
2
+ Unbiased Estimation of the Average Treatment Effect in Cluster-Randomized Experiments 2011 Joel A. Middleton
Peter M. Aronow
2
+ The behavior of maximum likelihood estimates under nonstandard conditions 1967 Peter J. Huber
2
+ Design and analysis of experiments in networks: Reducing bias from interference 2014 Dean Eckles
Brian Karrer
Johan Ugander
2
+ Estimating Average Causal Effects Under Interference Between Units 2015 Peter M. Aronow
Cyrus Samii
2
+ Spline Models for Observational Data. 1991 Hans‐Georg MĂŒller
Grace Wahba
2
+ PDF Chat Identification of treatment response with social interactions 2013 Charles F. Manski
2
+ The application of statistical process control charts to the detection and monitoring of hospital‐acquired infections 2001 Anthony Morton
Michael Whitby
Mary‐Louise McLaws
Annette J. Dobson
D. L. S. McElwain
David Looke
Jenny Stackelroth
Anna Sartor
1
+ PDF Chat Designing and deploying online field experiments 2014 Eytan Bakshy
Dean Eckles
Michael S. Bernstein
1
+ PDF Chat Seven pitfalls to avoid when running controlled experiments on the web 2009 T. Russell Crook
Brian Frasca
Ron Kohavi
Roger Longbotham
1
+ A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity 1980 Halbert White
1
+ PDF Chat Controlled experiments on the web: survey and practical guide 2008 Ron Kohavi
Roger Longbotham
Dan Sommerfield
Randal M. Henne
1
+ Training with Noise is Equivalent to Tikhonov Regularization 1995 Chris Bishop
1
+ PDF Chat A contextual-bandit approach to personalized news article recommendation 2010 Lihong Li
Wei Chu
John Langford
Robert E. Schapire
1
+ PDF Chat Online controlled experiments at large scale 2013 Ron Kohavi
Alex Deng
Brian Frasca
Toby Walker
Ya Xu
Nils Pöhlmann
1
+ Evaluating online ad campaigns in a pipeline 2010 David Chan
Rong Ge
Ori Gershony
Tim Hesterberg
Diane Lambert
1
+ PDF Chat Fast unfolding of communities in large networks 2008 Vincent D. Blondel
Jean‐Loup Guillaume
Renaud Lambiotte
Etienne Lefebvre
1
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
1
+ PDF Chat Identification of Causal Effects Using Instrumental Variables 1996 Joshua D. Angrist
Guido W. Imbens
Donald B. Rubin
1
+ PDF Chat Sparsity and Smoothness Via the Fused Lasso 2004 Robert Tibshirani
Michael A. Saunders
Saharon Rosset
Ji Zhu
Keith Knight
1
+ On regression adjustments to experimental data 2007 David A. Freedman
1
+ Sobol' Indices and Shapley Value 2014 Art B. Owen
1
+ How to Explain Individual Classification Decisions 2009 David Baehrens
Timon Schroeter
Stefan Harmeling
Motoaki Kawanabe
Katja Hansen
Klaus‐Robert MĂŒller
1
+ Trustworthy online controlled experiments 2012 Ron Kohavi
Alex Deng
Brian Frasca
Roger Longbotham
Toby Walker
Ya Xu
1
+ PDF Chat Estimation and Inference of Heterogeneous Treatment Effects using Random Forests 2017 Stefan Wager
Susan Athey
1
+ Bounding the Estimation Error of Sampling-based Shapley Value Approximation 2013 Sasan Maleki
The Anh Han
Greg Hines
Talal Rahwan
Alex Rogers
1
+ PDF Chat Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers 2016 Alexander Binder
Grégoire Montavon
Sebastian Lapuschkin
Klaus‐Robert MĂŒller
Wojciech Samek
1
+ People and Cookies 2016 Dominic Coey
Michael Bailey
1
+ Improving the Sensitivity of Online Controlled Experiments 2016 Huizhi Xie
Juliette Aurisset
1
+ Data-Driven Metric Development for Online Controlled Experiments 2016 Alex Deng
Xiaolin Shi
1
+ Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments 2016 Alexey Poyarkov
Alexey Drutsa
Andrey Khalyavin
Gleb Gusev
Pavel Serdyukov
1
+ PDF Chat On Shapley Value for Measuring Importance of Dependent Inputs 2017 Art B. Owen
Clémentine Prieur
1
+ Pitfalls of long-term online controlled experiments 2016 Pavel Dmitriev
Brian Frasca
Somit Gupta
Ron Kohavi
Garnet J. Vaz
1
+ Smart Augmentation Learning an Optimal Data Augmentation Strategy 2017 Joseph Lemley
Shabab Bazrafkan
Peter Corcoran
1