Cosma Rohilla Shalizi

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 7

Top Topics

Conditional Mutual Information

Meta Search Engine

Continuous Data

Top Venues

IEEE Trans. Inf. Theory

Digit. Humanit. Q.

Publications

Henry Farrell, Cosma Rohilla Shalizi
Bias, Skew, and Search Engines Are Sufficient to Explain Online Toxicity. Commun. ACM 67 (4) (2024)
Octavio César Mesner, Cosma Rohilla Shalizi
Conditional Mutual Information Estimation for Mixed, Discrete and Continuous Data. IEEE Trans. Inf. Theory 67 (1) (2021)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Nonparametric Risk Bounds for Time-Series Forecasting. J. Mach. Learn. Res. 18 (2017)
George D. Montañez, Cosma Rohilla Shalizi
The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling. IJCNN (2017)
Cosma Rohilla Shalizi, Dena Marie Asta
Consistency of Maximum Likelihood for Continuous-Space Network Models. CoRR (2017)
Christopher N. Warren, Daniel Shore, Jessica Otis, Lawrence Wang, Mike Finegold, Cosma Rohilla Shalizi
Six Degrees of Francis Bacon: A Statistical Method for Reconstructing Large Historical Social Networks. Digit. Humanit. Q. 10 (3) (2016)
Cosma Rohilla Shalizi, Edward McFowland III
Controlling for Latent Homophily in Social Networks through Inferring Latent Locations. CoRR (2016)
George D. Montañez, Cosma Rohilla Shalizi
The LICORS Cabinet: Nonparametric Algorithms for Spatio-temporal Prediction. CoRR (2015)
Dena Marie Asta, Cosma Rohilla Shalizi
Geometric Network Comparisons. UAI (2015)
Cosma Rohilla Shalizi, Kristina Lisa Klinkner
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences. CoRR (2014)
Michael Andrew Finegold, Christopher N. Warren, Cosma Rohilla Shalizi, Daniel Shore, Lawrence Wang
Six Degrees of Francis Bacon. DH (2013)
Cosma Rohilla Shalizi, Aryeh Kontorovich
Predictive PAC Learning and Process Decompositions. NIPS (2013)
Georg M. Goerg, Cosma Rohilla Shalizi
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction. AISTATS (2013)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Time series forecasting: model evaluation and selection using nonparametric risk bounds CoRR (2012)
Xiaoran Yan, Jacob E. Jensen, Florent Krzakala, Cristopher Moore, Cosma Rohilla Shalizi, Lenka Zdeborová, Pan Zhang, Yaojia Zhu
Model Selection for Degree-corrected Block Models CoRR (2012)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Generalization error bounds for stationary autoregressive models CoRR (2011)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Estimating beta-mixing coefficients. AISTATS (2011)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Estimating beta-mixing coefficients CoRR (2011)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Risk bounds for time series without strong mixing CoRR (2011)
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Clauset
Adapting to Non-stationarity with Growing Expert Ensembles CoRR (2011)
Robert Haslinger, Kristina Lisa Klinkner, Cosma Rohilla Shalizi
The Computational Structure of Spike Trains. CoRR (2010)
Robert Haslinger, Kristina Lisa Klinkner, Cosma Rohilla Shalizi
The Computational Structure of Spike Trains. Neural Comput. 22 (1) (2010)
Cosma Rohilla Shalizi, Andrew C. Thomas
Homophily and Contagion Are Generically Confounded in Observational Social Network Studies. CoRR (2010)
Aaron Clauset, Cosma Rohilla Shalizi, Mark E. J. Newman
Power-Law Distributions in Empirical Data. SIAM Rev. 51 (4) (2009)
Cosma Rohilla Shalizi
Social Media as Windows on the Social Life of the Mind. AAAI Spring Symposium: Social Information Processing (2008)
Cosma Rohilla Shalizi
Social Media as Windows on the Social Life of the Mind CoRR (2007)
Cosma Rohilla Shalizi, Marcelo F. Camperi, Kristina Lisa Klinkner
Discovering Functional Communities in Dynamical Networks. SNA@ICML (2006)
Michael T. Gastner, Cosma Rohilla Shalizi, Mark E. J. Newman
Maps and Cartograms of the 2004 US Presidential Election Results. Adv. Complex Syst. 8 (1) (2005)
Kristina Lisa Klinkner, Cosma Rohilla Shalizi, Marcelo Camperi
Measuring Shared Information and Coordinated Activity in Neuronal Networks. NIPS (2005)
Cosma Rohilla Shalizi, Kristina Lisa Shalizi
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences. UAI (2004)
Cosma Rohilla Shalizi, Kristina Lisa Shalizi
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences CoRR (2004)
Cosma Rohilla Shalizi
Optimal Nonlinear Prediction of Random Fields on Networks. DMCS (2003)
Cosma Rohilla Shalizi, Kristina Lisa Shalizi, James P. Crutchfield
An Algorithm for Pattern Discovery in Time Series CoRR (2002)
Cosma Rohilla Shalizi, James P. Crutchfield
Information Bottlenecks, Causal States, and Statistical Relevance Bases: How to Represent Relevant Information in memoryless transduction. Adv. Complex Syst. 5 (1) (2002)
Cosma Rohilla Shalizi, James P. Crutchfield
Pattern Discovery and Computational Mechanics CoRR (2000)
Cosma Rohilla Shalizi, James P. Crutchfield
Information Bottlenecks, Causal States, and Statistical Relevance Bases: How to Represent Relevant Information in Memoryless Transduction CoRR (2000)
Cosma Rohilla Shalizi, James P. Crutchfield
Computational Mechanics: Pattern and Prediction, Structure and Simplicity CoRR (1999)