Jared Webb

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ XGBoost 2016 Tianqi Chen
Carlos Guestrin
4
+ PDF Chat Proper multivariate conditional autoregressive models for spatial data analysis 2003 Alan E. Gelfand
3
+ A comparison of conditional autoregressive models used in Bayesian disease mapping 2011 Duncan Lee
3
+ <b>CARBayes</b>: An<i>R</i>Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors 2013 Duncan Lee
3
+ Importance weighted active learning 2009 Alina Beygelzimer
Sanjoy Dasgupta
John Langford
3
+ Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing 2016 Jacob Abernethy
Cyrus Anderson
Chengyu Dai
Arya Farahi
Linh Nguyen
Adam Rauh
Eric M. Schwartz
Wenbo Shen
Guangsha Shi
Jonathan Stroud
3
+ Statistical Active Learning Algorithms 2013 Maria Florina Balcan
Vitaly Feldman
2
+ Scikit-learn: Machine Learning in Python 2012 Fabián Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
2
+ PDF Chat A Data Science Approach to Understanding Residential Water Contamination in Flint 2017 Alex Chojnacki
Chengyu Dai
Arya Farahi
Guangsha Shi
Jared Webb
Daniel T. Zhang
Jacob Abernethy
Eric M. Schwartz
2
+ TensorSplat: Spotting Latent Anomalies in Time 2012 Danai Koutra
Evangelos E. Papalexakis
Christos Faloutsos
1
+ PDF Chat Efficient MATLAB Computations with Sparse and Factored Tensors 2007 Brett W. Bader
Tamara G. Kolda
1
+ CubeSVD 2005 Jian-Tao Sun
Hua-Jun Zeng
Huan Liu
Yuchang Lu
Zheng Chen
1
+ Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues 2000 John Odentrantz
1
+ Spatial Interaction and the Statistical Analysis of Lattice Systems 1974 Julian Besag
1
+ PDF Chat A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data 2011 Christian P. Robert
George Casella
1
+ Nearest neighbor pattern classification 1967 Thomas M. Cover
Peter E. Hart
1
+ Markov Chain Monte Carlo in Practice 1995 Walter R. Gilks
Sylvia Richardson
David J. Spiegelhalter
1
+ Monte Carlo sampling methods using Markov chains and their applications 1970 W. Keith Hastings
1
+ Factorization tricks for LSTM networks 2017 Oleksii Kuchaiev
Boris Ginsburg
1
+ One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling 2013 Ciprian Chelba
Tomáš Mikolov
Mike Schuster
Qi Ge
Thorsten Brants
Phillipp Koehn
Tony Robinson
1
+ Markov fields on finite graphs and lattices 1971 J. M. Hammersley
Peter Clifford
1
+ Bayesian data analysis 2017 Mark Andrews
Thom Baguley
1
+ P. Bremaud 著, Markov Chains, (Gibbs fields, Monte Carlo simulation and Queues), Springer-Verlag, 1999年 2000 政清 宮沢
1
+ Collective Sampling and Analysis of High Order Tensors for Chatroom Communications 2006 Evrim Acar
Seyit Camtepe
BĂĽlent Yener
1
+ Discussion Tracking in Enron Email Using PARAFAC 2007 Brett W. Bader
Michael W. Berry
Murray Browne
1
+ Recurrent Neural Network Regularization 2014 Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
1
+ Real and Complex Analysis. 1987 G. A. Garreau
Walter Rudin
1
+ Classification and Regression Trees 2008 Gretchen G. Moisen
1
+ PDF Chat Monte Carlo Statistical Methods 2000 Hoon Kim
Christian P. Robert
George Casella
1
+ Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition 1970 J. Douglas Carroll
Jih-Jie Chang
1
+ PDF Chat Foundations of Modern Probability 2021 Olav Kallenberg
1
+ Tensor Decompositions and Applications 2009 Tamara G. Kolda
Brett W. Bader
1
+ Topographic components model for event-related potentials and some biophysical considerations 1988 Joachim Möcks
1