Cosma Rohilla Shalizi

Affiliations:
  • Carnegie Mellon University, Department of Statistics
  • University of Michigan, Center for the Study of Complex Systems
  • Santa Fe Institute
  • University of Wisconsin at Madison, Physics Department


According to our database1, Cosma Rohilla Shalizi authored at least 30 papers between 1999 and 2021.

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Bibliography

2021
Conditional Mutual Information Estimation for Mixed, Discrete and Continuous Data.
IEEE Trans. Inf. Theory, 2021

2017
Nonparametric Risk Bounds for Time-Series Forecasting.
J. Mach. Learn. Res., 2017

Consistency of Maximum Likelihood for Continuous-Space Network Models.
CoRR, 2017

The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Six Degrees of Francis Bacon: A Statistical Method for Reconstructing Large Historical Social Networks.
Digit. Humanit. Q., 2016

Controlling for Latent Homophily in Social Networks through Inferring Latent Locations.
CoRR, 2016

2015
The LICORS Cabinet: Nonparametric Algorithms for Spatio-temporal Prediction.
CoRR, 2015

Geometric Network Comparisons.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2013
Predictive PAC Learning and Process Decompositions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Six Degrees of Francis Bacon.
Proceedings of the 8th Annual International Conference of the Alliance of Digital Humanities Organizations, 2013

Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Time series forecasting: model evaluation and selection using nonparametric risk bounds
CoRR, 2012

Model Selection for Degree-corrected Block Models
CoRR, 2012

2011
Estimating beta-mixing coefficients.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Risk bounds for time series without strong mixing
CoRR, 2011

Adapting to Non-stationarity with Growing Expert Ensembles
CoRR, 2011

Generalization error bounds for stationary autoregressive models
CoRR, 2011

2010
The Computational Structure of Spike Trains.
Neural Comput., 2010

Homophily and Contagion Are Generically Confounded in Observational Social Network Studies.
CoRR, 2010

2009
Power-Law Distributions in Empirical Data.
SIAM Rev., 2009

2008
Social Media as Windows on the Social Life of the Mind.
Proceedings of the Social Information Processing, 2008

2006
Discovering Functional Communities in Dynamical Networks.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

2005
Maps and Cartograms of the 2004 US Presidential Election Results.
Adv. Complex Syst., 2005

Measuring Shared Information and Coordinated Activity in Neuronal Networks.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences.
Proceedings of the UAI '04, 2004

2003
Optimal Nonlinear Prediction of Random Fields on Networks.
Proceedings of the Discrete Models for Complex Systems, 2003

2002
An Algorithm for Pattern Discovery in Time Series
CoRR, 2002

Information Bottlenecks, Causal States, and Statistical Relevance Bases: How to Represent Relevant Information in memoryless transduction.
Adv. Complex Syst., 2002

2000
Pattern Discovery and Computational Mechanics
CoRR, 2000

1999
Computational Mechanics: Pattern and Prediction, Structure and Simplicity
CoRR, 1999


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